Democracy at Work Institute
New York, NY, USA
About the Job
The Metrics and Impact Analyst will gather, maintain and analyze strategic data for DAWI and the field. This position is the critical next step in a growing organization and field, and will support taking our work and our impact to the next level.
The relatively young field of employee ownership is exploding, with the passage of new federal legislation, policy and funding developments in cities across the country, new investments, a growing community of practitioners, and broadening public appeal as a strategy to address inequality. Democracy at Work Institute is helping both drive and track this growth, and data is a key part of the expansion. As a convening organization, our work (and our data) is often at the center of the action, and we work in close collaboration with several partners. DAWI collects and stores much of the field’s data on worker cooperatives, cooperative development and impacts. In short, we sit on a rich trove of data and data to-be, and we need someone who can think critically and creatively about its use.
This is a newly-created position, with potential to shape the field for the long term, as you help DAWI and our partners understand our impact, communicate it, and achieve even more. You will be stepping into a strong infrastructure and building it out to support and sustain field-wide growth. We are most interested in hiring a well-rounded person who understands data, systems, people, and political context. This position calls for a systems thinker who is both meticulous and innovative, and who holds the practical use of data highest in mind. You will be maintaining existing datasets and designing new data collection systems; reporting and assessing; and working with DAWI staff and allies to make use of data in their work.
Essential Job Functions:
Maintain and build out DAWI’s program data (45%) Knit together DAWI’s various data tracking systems and build systems across programs. Assess which tools are best and migrate data as needed. Maintain and improve:
Foundational datasets: Supervise administration and analysis of enterprise census, individual worker census, and cooperative developer impact data.
Collaborative datasets: Support collection of Workers to Owners Collaborative partner data on the nationwide employee ownership conversions pipeline.
NYC Worker Cooperative Business Development Initiative data: As the “backbone partner” track partners’ progress to goals, support City staff to report impacts, and develop/track additional success metrics for WCBDI partners; supervise entry of DAWI deliverables in NYC’s Small Business Services CRM.
DAWI online resource libraries: organize and maintain resources at institute.coop, our library of local policies, and others as they come online.
Analyze and communicate impact (20%) Work with DAWI staff, leadership and field partners to:
Analyze DAWI program data for shaping programs and feeding back to partners. Frame questions and design/collection considerations on the front end. Help detect strategy-informing patterns on the back end.
Analyze field data that DAWI gathers and maintains, support developing field strategy, and communicating impact publicly.
Share and communicate data, potentially including supporting data visualization.
Develop, implement and evaluate impact metrics (10%)
Work with program staff and partners to develop and track a standard set of impact metrics for the field.
Support KPI tracking in DAWI’s programs, which includes implementation of field-wide metrics as well as DAWI-specific metrics.
Consult with and advise partners on design of data tracking and information systems.
Manage operational data for DAWI (10%)
Perform basic CiviCRM database management and security functions, with some support from the website host and database developers.
Oversee and perform input, import, deduping/merging and export of contacts, activities, and events in the database.
Design and make revisions to DAWI’s data model/database structure as necessary.
Make updates to and create new views and webforms as necessary.
Coordinate DAWI staff “data leaders” to support accurate and complete data entry and engagement with the database.
Coordinate data sharing between DAWI and USFWC.
Strategic research support (5%)
As capacity and interest allows, collaborate with DAWI staff and/or contract researchers to conduct strategic research.
Administration and Organizational Development (10%)
Support effective operations and administrative systems, as all DAWI staff does.
Maintain effective project management and reporting systems to track and share information about work with all staff.
Participate in DAWI staff functions, including giving input on management and governance of the organization.
Attend staff meetings, project meetings, supervisorial meetings as needed.
Attend and present at relevant field events, build relationships in the field.
Take part in regular skills training and professional development opportunities, using professional development budget supplied by DAWI.
Skills and Qualities We Seek
Required:
Proficiency with any of the following CRM systems is required: CiviCRM, Airtable, Salesforce, or others that use MySQL, Oracle, or Microsoft software. Some level of experience with Drupal is strongly preferred.
Experience with basic office tools (Microsoft Office Suite, social media platforms and applications, online project management systems, online/remote meeting tools) is required. Facility with new technology is a must.
Strong written and verbal communication skills are required, particularly the ability to explain technical data and processes to co-workers.
Attention to detail, consistency, and a generally meticulous approach to work are required.
Remote work is required. You will need to be able to work independently to prioritize and execute day to day tasks, with self-management systems in place.
Willingness and ability to constructively share ideas and collaborate with both senior and junior staff is required, as we are a small and highly collaborative team.
Desired:
Statistics background is desired (academic or other professional experience) for future survey work.
Experience with data visualization is desired, but not required.
Academic training may be helpful, but is in no way required for this position. We care most about your ability to set up and manage systems, think strategically about impact data, and communicate well.
We value emotional intelligence, kindness, and sense of humor. Diplomacy, judgment, and discretion are important in this position.
Passion for social justice, racial equity, small business, and/or labor organizing, and ability to identify the larger issues at play is strongly desired. Familiarity with or interest in employee ownership and worker cooperatives will be important to cultivate.
We are seeking a candidate with at least five years experience doing this kind of work. The ideal applicant will have a decent amount of experience with systems design and improvement, and be able to do and supervise this for DAWI, but will also be willing and able to do the hands-on work of data management and reporting.
About Being on Staff:
Started in 2013, DAWI is a relatively young organization, and all staffers are expected to help build organizational capacity, including organizational processes and documents. A certain amount of travel for all staffers is expected and supported. We are a remote organization with offices in Oakland and New York. This allows us to have staff all over the country, and to create flexible working hours and locations. It can also be challenging for developing systems, getting buy-in for their use, and maintaining consistency of practice —a key part of this job. For this position, we prefer someone who can work out of our New York office, but we will consider strong candidates from all locations. We are open to contractors.
We love our work, and we work hard, but we also strive for work-life balance. We are a tight-knit team with extremely low staff turnover. Full-time staff are eligible for membership in the organization after 6 months of employment. Members are eligible to serve on the board of directors, elect two directors, and participate in the strategic guidance of the organization. A certain amount of travel for all staffers will be expected and supported. Ability and willingness to learn and help improve the technological tools for remote working is also expected.
Notice of Nondiscrimination:
Democracy at Work Institute (DAWI) is committed to a multi-racial and class-diverse staff that reflects the future of worker cooperatives. Women, people of color and others who may be underrepresented at senior levels of the nonprofit workforce are strongly encouraged to apply. DAWI is committed to equal opportunity for all persons without regard to sex, age, race, color, religion, creed, national origin, marital status, disability, or sexual orientation, and any other class of individuals protected from discrimination under state or federal law. It is the policy of DAWI to comply with all federal, state, and local laws and regulations regarding equal opportunity. In keeping with that policy, DAWI is committed to maintaining a work environment that is free of unlawful discrimination and harassment. Accordingly, DAWI will not tolerate unlawful discrimination against or harassment of any of our employees or others present at our facilities by anyone, including any supervisor, coworker, vendor, client, or customer of DAWI.
Benefits
DAWI offers full health benefits coverage for employees, including dental and vision; participation in a 401(k) plan; a generous time off policy; and a professional development budget.
How to Apply
Click the "Apply Now" button on this page to email a cover letter, resume, and 2-3 paragraph statement of interest and competencies for this particular position. Include the subject line “Application for Metrics and Impact Analyst position.” Deadline for applications: August 5, 2019.
About the Job
The Metrics and Impact Analyst will gather, maintain and analyze strategic data for DAWI and the field. This position is the critical next step in a growing organization and field, and will support taking our work and our impact to the next level.
The relatively young field of employee ownership is exploding, with the passage of new federal legislation, policy and funding developments in cities across the country, new investments, a growing community of practitioners, and broadening public appeal as a strategy to address inequality. Democracy at Work Institute is helping both drive and track this growth, and data is a key part of the expansion. As a convening organization, our work (and our data) is often at the center of the action, and we work in close collaboration with several partners. DAWI collects and stores much of the field’s data on worker cooperatives, cooperative development and impacts. In short, we sit on a rich trove of data and data to-be, and we need someone who can think critically and creatively about its use.
This is a newly-created position, with potential to shape the field for the long term, as you help DAWI and our partners understand our impact, communicate it, and achieve even more. You will be stepping into a strong infrastructure and building it out to support and sustain field-wide growth. We are most interested in hiring a well-rounded person who understands data, systems, people, and political context. This position calls for a systems thinker who is both meticulous and innovative, and who holds the practical use of data highest in mind. You will be maintaining existing datasets and designing new data collection systems; reporting and assessing; and working with DAWI staff and allies to make use of data in their work.
Essential Job Functions:
Maintain and build out DAWI’s program data (45%) Knit together DAWI’s various data tracking systems and build systems across programs. Assess which tools are best and migrate data as needed. Maintain and improve:
Foundational datasets: Supervise administration and analysis of enterprise census, individual worker census, and cooperative developer impact data.
Collaborative datasets: Support collection of Workers to Owners Collaborative partner data on the nationwide employee ownership conversions pipeline.
NYC Worker Cooperative Business Development Initiative data: As the “backbone partner” track partners’ progress to goals, support City staff to report impacts, and develop/track additional success metrics for WCBDI partners; supervise entry of DAWI deliverables in NYC’s Small Business Services CRM.
DAWI online resource libraries: organize and maintain resources at institute.coop, our library of local policies, and others as they come online.
Analyze and communicate impact (20%) Work with DAWI staff, leadership and field partners to:
Analyze DAWI program data for shaping programs and feeding back to partners. Frame questions and design/collection considerations on the front end. Help detect strategy-informing patterns on the back end.
Analyze field data that DAWI gathers and maintains, support developing field strategy, and communicating impact publicly.
Share and communicate data, potentially including supporting data visualization.
Develop, implement and evaluate impact metrics (10%)
Work with program staff and partners to develop and track a standard set of impact metrics for the field.
Support KPI tracking in DAWI’s programs, which includes implementation of field-wide metrics as well as DAWI-specific metrics.
Consult with and advise partners on design of data tracking and information systems.
Manage operational data for DAWI (10%)
Perform basic CiviCRM database management and security functions, with some support from the website host and database developers.
Oversee and perform input, import, deduping/merging and export of contacts, activities, and events in the database.
Design and make revisions to DAWI’s data model/database structure as necessary.
Make updates to and create new views and webforms as necessary.
Coordinate DAWI staff “data leaders” to support accurate and complete data entry and engagement with the database.
Coordinate data sharing between DAWI and USFWC.
Strategic research support (5%)
As capacity and interest allows, collaborate with DAWI staff and/or contract researchers to conduct strategic research.
Administration and Organizational Development (10%)
Support effective operations and administrative systems, as all DAWI staff does.
Maintain effective project management and reporting systems to track and share information about work with all staff.
Participate in DAWI staff functions, including giving input on management and governance of the organization.
Attend staff meetings, project meetings, supervisorial meetings as needed.
Attend and present at relevant field events, build relationships in the field.
Take part in regular skills training and professional development opportunities, using professional development budget supplied by DAWI.
Skills and Qualities We Seek
Required:
Proficiency with any of the following CRM systems is required: CiviCRM, Airtable, Salesforce, or others that use MySQL, Oracle, or Microsoft software. Some level of experience with Drupal is strongly preferred.
Experience with basic office tools (Microsoft Office Suite, social media platforms and applications, online project management systems, online/remote meeting tools) is required. Facility with new technology is a must.
Strong written and verbal communication skills are required, particularly the ability to explain technical data and processes to co-workers.
Attention to detail, consistency, and a generally meticulous approach to work are required.
Remote work is required. You will need to be able to work independently to prioritize and execute day to day tasks, with self-management systems in place.
Willingness and ability to constructively share ideas and collaborate with both senior and junior staff is required, as we are a small and highly collaborative team.
Desired:
Statistics background is desired (academic or other professional experience) for future survey work.
Experience with data visualization is desired, but not required.
Academic training may be helpful, but is in no way required for this position. We care most about your ability to set up and manage systems, think strategically about impact data, and communicate well.
We value emotional intelligence, kindness, and sense of humor. Diplomacy, judgment, and discretion are important in this position.
Passion for social justice, racial equity, small business, and/or labor organizing, and ability to identify the larger issues at play is strongly desired. Familiarity with or interest in employee ownership and worker cooperatives will be important to cultivate.
We are seeking a candidate with at least five years experience doing this kind of work. The ideal applicant will have a decent amount of experience with systems design and improvement, and be able to do and supervise this for DAWI, but will also be willing and able to do the hands-on work of data management and reporting.
About Being on Staff:
Started in 2013, DAWI is a relatively young organization, and all staffers are expected to help build organizational capacity, including organizational processes and documents. A certain amount of travel for all staffers is expected and supported. We are a remote organization with offices in Oakland and New York. This allows us to have staff all over the country, and to create flexible working hours and locations. It can also be challenging for developing systems, getting buy-in for their use, and maintaining consistency of practice —a key part of this job. For this position, we prefer someone who can work out of our New York office, but we will consider strong candidates from all locations. We are open to contractors.
We love our work, and we work hard, but we also strive for work-life balance. We are a tight-knit team with extremely low staff turnover. Full-time staff are eligible for membership in the organization after 6 months of employment. Members are eligible to serve on the board of directors, elect two directors, and participate in the strategic guidance of the organization. A certain amount of travel for all staffers will be expected and supported. Ability and willingness to learn and help improve the technological tools for remote working is also expected.
Notice of Nondiscrimination:
Democracy at Work Institute (DAWI) is committed to a multi-racial and class-diverse staff that reflects the future of worker cooperatives. Women, people of color and others who may be underrepresented at senior levels of the nonprofit workforce are strongly encouraged to apply. DAWI is committed to equal opportunity for all persons without regard to sex, age, race, color, religion, creed, national origin, marital status, disability, or sexual orientation, and any other class of individuals protected from discrimination under state or federal law. It is the policy of DAWI to comply with all federal, state, and local laws and regulations regarding equal opportunity. In keeping with that policy, DAWI is committed to maintaining a work environment that is free of unlawful discrimination and harassment. Accordingly, DAWI will not tolerate unlawful discrimination against or harassment of any of our employees or others present at our facilities by anyone, including any supervisor, coworker, vendor, client, or customer of DAWI.
Benefits
DAWI offers full health benefits coverage for employees, including dental and vision; participation in a 401(k) plan; a generous time off policy; and a professional development budget.
How to Apply
Click the "Apply Now" button on this page to email a cover letter, resume, and 2-3 paragraph statement of interest and competencies for this particular position. Include the subject line “Application for Metrics and Impact Analyst position.” Deadline for applications: August 5, 2019.
Sub Rosa
New York, NY, USA
Job Description — Senior Machine Learning Engineer
Reports To: Senior Director of Product Strategy
OVERVIEW:
Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change.
Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning.
Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms.
Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team.
RESPONSIBILITIES:
You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design
You will help craft the direction of machine learning and artificial intelligence at Sub Rosa
REQUIREMENTS:
BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience
5+ years of experience building machine learning or AI systems
Strong analytical and problem-solving skills
Strong programming skills in Python or equivalent
Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch)
Experience in algorithm design, selection and verification
Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.)
Preference in working in a collaborative team environment
DESIRED QUALIFICATIONS:
PhD/Doctorate in Computer Science or related field with research in machine learning
Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text
APPLICATION PROCESS:
If interested, please provide an up to date resume and link to your GitHub or equivalent account for review.
*Disclaimer
All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references.
Job Description — Senior Machine Learning Engineer
Reports To: Senior Director of Product Strategy
OVERVIEW:
Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change.
Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning.
Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms.
Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team.
RESPONSIBILITIES:
You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design
You will help craft the direction of machine learning and artificial intelligence at Sub Rosa
REQUIREMENTS:
BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience
5+ years of experience building machine learning or AI systems
Strong analytical and problem-solving skills
Strong programming skills in Python or equivalent
Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch)
Experience in algorithm design, selection and verification
Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.)
Preference in working in a collaborative team environment
DESIRED QUALIFICATIONS:
PhD/Doctorate in Computer Science or related field with research in machine learning
Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text
APPLICATION PROCESS:
If interested, please provide an up to date resume and link to your GitHub or equivalent account for review.
*Disclaimer
All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references.
WWE, Inc.
Stamford, CT, USA
The Director of Data Products will champion a Data-as-a-Product mindset, responsible for planning, leading, managing and executing the product roadmap utilizing WWE's enterprise data assets in partnership with business units at WWE. This role will be key to the rollout of the data driven products and platform reporting across WWE, and will partner with Data Analytics, business units and other technology teams across WWE portfolio to analyze user needs, documenting user stories, prioritizing themes and epics based on KPIs and other inputs, and tracking feature impact on KPIs.
RESPONSIBILITIES:
Be the Product Manager for Data Warehouse platform, enabling enterprise analytics applications and functional analytical/data science solutions.
Define the vision and strategy of data products and capabilities aligned to overall organizational and business objectives
Combine the voice and needs of the users and business requirements to create both high-level roadmaps and detailed delivery plans of features and capabilities. Leading prioritization, stakeholder management and delivery for ingestion, processing and availability of data
Partnering with consumer-facing Product Managers to design tracking, capture & upstream data production solutions for product launches
Evaluating, integrating and managing relationships with data solution providers
Develop detailed product specifications with user scenarios and acceptance criteria and success measures.
Use a metrics-driven product development approach. Define success measures for roadmap items and demonstrate measurable impact on those success metrics
Partner with Analytics, Data Science, UX, Data Engineering, Data Architecture, and Program Management teams to develop, test and deliver high-quality products and features that meet end-users' and internal business' needs
Lead and collaborate on all business readiness activities including product testing, end-user education, rollout, iteration and support
Oversee the adoption of new features and capabilities across the organization
WHAT TO BRING:
Expertise in at least one of the following areas:
Clickstream data: Google Analytics, Adobe Analytics
Content analytics: TV, social media, YouTube, digital content distributors
Direct-to-consumer: subscription-based, direct to consumer marketing, e-commerce
Advertising: ad serving
5+ years in product management experience with building and delivering successful data products, services, and capabilities
3+ years of experience in applied data science, analytics or Machine learning is a big plus
Good understanding of AWS/GCP, relational and normalized databases from both utility as well as data model design and development
Familiarity with ETL and ELT methodologies
Working knowledge of SQL or basic query languages, Excel, statistical profiling and analysis
Planning acumen and demonstrated skill in pragmatic work breakdown / MVP definition
Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
Ability to prioritize and juggle with competing priorities and make decisions in ambiguous situations
Strong leadership skill especially the ability to lead through influence across functional and organizational lines
Ability to thrive in a dynamic and fast-paced operational environment, drive change, and collaborate with a variety of individuals and organizational partners
Experience presenting to and working with senior leaders
Knowledge and experience of agile/scrum product development
Undergraduate Degree in Engineering, Math, Science, Economics or related field
NICE-TO-HAVES:
Advance CS, Elec, STEM or Information Systems degree and/or MBA is a plus
Experience with delivering large scale enterprise applications using big data open-source solutions such as Hadoop, HBase, Spark, Kafka, and Elastic Search / Solr
Proficiency in SQL and one or more of these DB's - Oracle, MySQL, Teradata
Experience with Tableau or other visualization tools
Industry experience in video streaming, OTT, Social Platforms, CRM tools, Direct to consumer marketing, Ecommerce
Knowledge of Open Source Systems and Tools is a big plus
The Director of Data Products will champion a Data-as-a-Product mindset, responsible for planning, leading, managing and executing the product roadmap utilizing WWE's enterprise data assets in partnership with business units at WWE. This role will be key to the rollout of the data driven products and platform reporting across WWE, and will partner with Data Analytics, business units and other technology teams across WWE portfolio to analyze user needs, documenting user stories, prioritizing themes and epics based on KPIs and other inputs, and tracking feature impact on KPIs.
RESPONSIBILITIES:
Be the Product Manager for Data Warehouse platform, enabling enterprise analytics applications and functional analytical/data science solutions.
Define the vision and strategy of data products and capabilities aligned to overall organizational and business objectives
Combine the voice and needs of the users and business requirements to create both high-level roadmaps and detailed delivery plans of features and capabilities. Leading prioritization, stakeholder management and delivery for ingestion, processing and availability of data
Partnering with consumer-facing Product Managers to design tracking, capture & upstream data production solutions for product launches
Evaluating, integrating and managing relationships with data solution providers
Develop detailed product specifications with user scenarios and acceptance criteria and success measures.
Use a metrics-driven product development approach. Define success measures for roadmap items and demonstrate measurable impact on those success metrics
Partner with Analytics, Data Science, UX, Data Engineering, Data Architecture, and Program Management teams to develop, test and deliver high-quality products and features that meet end-users' and internal business' needs
Lead and collaborate on all business readiness activities including product testing, end-user education, rollout, iteration and support
Oversee the adoption of new features and capabilities across the organization
WHAT TO BRING:
Expertise in at least one of the following areas:
Clickstream data: Google Analytics, Adobe Analytics
Content analytics: TV, social media, YouTube, digital content distributors
Direct-to-consumer: subscription-based, direct to consumer marketing, e-commerce
Advertising: ad serving
5+ years in product management experience with building and delivering successful data products, services, and capabilities
3+ years of experience in applied data science, analytics or Machine learning is a big plus
Good understanding of AWS/GCP, relational and normalized databases from both utility as well as data model design and development
Familiarity with ETL and ELT methodologies
Working knowledge of SQL or basic query languages, Excel, statistical profiling and analysis
Planning acumen and demonstrated skill in pragmatic work breakdown / MVP definition
Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
Ability to prioritize and juggle with competing priorities and make decisions in ambiguous situations
Strong leadership skill especially the ability to lead through influence across functional and organizational lines
Ability to thrive in a dynamic and fast-paced operational environment, drive change, and collaborate with a variety of individuals and organizational partners
Experience presenting to and working with senior leaders
Knowledge and experience of agile/scrum product development
Undergraduate Degree in Engineering, Math, Science, Economics or related field
NICE-TO-HAVES:
Advance CS, Elec, STEM or Information Systems degree and/or MBA is a plus
Experience with delivering large scale enterprise applications using big data open-source solutions such as Hadoop, HBase, Spark, Kafka, and Elastic Search / Solr
Proficiency in SQL and one or more of these DB's - Oracle, MySQL, Teradata
Experience with Tableau or other visualization tools
Industry experience in video streaming, OTT, Social Platforms, CRM tools, Direct to consumer marketing, Ecommerce
Knowledge of Open Source Systems and Tools is a big plus
The Walt Disney Company
Anaheim, CA, USA
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Springboard
Remote
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The Walt Disney Company
Burbank, CA, USA
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
ArcherDX
Boulder, CO, USA
POSITION SUMMARY:
The Director of Analytics will lead the analysis and interpretation of high-throughput sequencing study analytical and clinical study data, in support of Archer’s Companion Diagnostics program.
RESPONSIBILITIES INCLUDE:
Serve as statistical analysis and interpretation subject matter expert for the development and validation of diagnostic products;
Develop statistical plans and study designs for analytical studies;
Provide unified oversight for business processes, data standards, and analysis systems;
Communicate with regulatory agencies and IVD business partners;
Develop standard operating procedures for data analysis, according to applicable regulatory guidelines;
Author protocols, reports, pre-submissions, IDE and other PMA submission related documentation for molecular diagnostic applications.
REQUIRED EXPERIENCE:
Proficiency in SAS or R programming is required; proficiency in both preferred;
Training in the theory and application of statistics;
Experience with molecular assay validation; next generation sequencing data experience preferred
REQUIRED SKILLS:
Demonstrated ability to work within a commercial environment and influence in a cross functional role;
Proven track record in communications including presentations, journal publications and training;
Ability to create high-quality data visualizations to explain new analyses and concepts to technical and non-technical stakeholders
EDUCATION:
PhD or other advanced degree in Statistics, Biostatistics or related field;
POSITION SUMMARY:
The Director of Analytics will lead the analysis and interpretation of high-throughput sequencing study analytical and clinical study data, in support of Archer’s Companion Diagnostics program.
RESPONSIBILITIES INCLUDE:
Serve as statistical analysis and interpretation subject matter expert for the development and validation of diagnostic products;
Develop statistical plans and study designs for analytical studies;
Provide unified oversight for business processes, data standards, and analysis systems;
Communicate with regulatory agencies and IVD business partners;
Develop standard operating procedures for data analysis, according to applicable regulatory guidelines;
Author protocols, reports, pre-submissions, IDE and other PMA submission related documentation for molecular diagnostic applications.
REQUIRED EXPERIENCE:
Proficiency in SAS or R programming is required; proficiency in both preferred;
Training in the theory and application of statistics;
Experience with molecular assay validation; next generation sequencing data experience preferred
REQUIRED SKILLS:
Demonstrated ability to work within a commercial environment and influence in a cross functional role;
Proven track record in communications including presentations, journal publications and training;
Ability to create high-quality data visualizations to explain new analyses and concepts to technical and non-technical stakeholders
EDUCATION:
PhD or other advanced degree in Statistics, Biostatistics or related field;
Comunidad Partners
San Diego, CA, USA
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Upstart
Columbus, OH, USA
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
The Walt Disney Company
Lake Buena Vista, FL, USA
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
The Walt Disney Company
Orlando, FL, USA
Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing & Sales center of excellence for Disney Parks, Experiences and Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. The Travel Operations Analyst will provide measurement and analytical support for contact centers at Walt Disney World. He/she will partner with operations leaders to evaluate the performance of existing processes and develop measurement plans to evaluate new strategies and technology designed to improve the guest experience and drive business results. In order to succeed in the role, the candidate must be comfortable working with partners, preparing recurring reporting, conducting both planned and ad hoc analyses, and communicating insights to stakeholders. This position reports to the Travel Operations Analytics Manager and has no direct reports.
Responsibilities :
Build, maintain, and distribute recurring contact center reporting
Provide analytic expertise on contact center eCommerce teams (web chat, in-app messaging, email)
Perform data discovery and documentation on new data sources
Partner with Data Services teams to build automated processes and troubleshoot data discrepancies
Develop monthly performance recommendations to support the variable pay program
Provide analytical support to the contact center Project Development and Technology Solutions teams, measuring and interpreting the business impact of new initiatives and technology enhancements.
Develop presentations that provide quantitative analysis and recommendations to stakeholders on assigned projects
Basic Qualifications :
1+ years of analytical and data exploration experience
Excellent problem solving skills with the ability to proactively identify and develop solutions to complex questions
Proven ability to manage analytics projects from discovery through completion
Understand how to derive actionable insights from data
Excellent written and verbal communication skills
Ability to maintain and grow relationships with partners/clients/team
Proficiency with reporting, data visualization, and analytical tools such as Excel, SQL, Tableau, R, SAS, and/or Python
Preferred Qualifications :
Understanding of contact center and web metrics
Experience using forecasting methodologies
Demonstrated ability to apply statistical rigor to analysis
Understanding of chat and messaging technology
Experience in text mining, sentiment analysis and/or natural language processing
Required Education :
Bachelor’s degree in an analytical/quantitative field
Preferred Education :
Graduate degree in an analytical/quantitative field
The Walt Disney Company
New York, NY, USA
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Octapharma
Charlotte, NC, USA
Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
Business Analyst - BABOK
We are seeking a Business Analyst to join our growing biopharmaceutical company. Reporting to the Business Analyst Supervisor, this position is responsible for working with business stakeholders to define and document business processes and software requirements for technology requests. You will regularly engage in multiple initiatives simultaneously across all levels in the organization. This will include teaming with IT developers, business key users, validation and QA staff.
Additional responsibilities of the BA role include:
Collect, analyze and interpret requirements using interviews, document analysis, business process descriptions, business analysis, and task and workflow analysis toward best practice or BABOK standards.
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish the underlying true needs from user requests.
Proactively communicate, collaborate, and facilitate knowledge transfer between internal customers and development team to analyze information needs and functional requirements.
Clearly and concisely document the results of analysis and workflows as well as obtain sign-off from the internal customers.
Assist technical writer in the design of test scripts and test scenarios. Coordinate with the business users who test, validate, and evaluate new applications and functions, and determine issues in services and software.
Serve as the conduit between the internal customer community and the software development team through which requirements flow.
Job Requirements
Qualified candidates of this role must offer a Bachelor's degree in information technology or a related field. You must offer excellent communication, technical and project management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
Technical skills and experience required of the BA role include:
Minimum of 5 years experience as a Business Analyst
Minimum of 5 years experience creating, editing and revising technical documentation such as process diagrams, flow charts, procedure manuals and training materials
Demonstrated ability to successfully engage in multiple initiatives simultaneously across all levels in an organization
Willingness to drive and challenge business users on their assumptions of how they will successfully execute their plans
Ability to read and interpret moderately complex or technical documents such as laws, regulations, safety rules, operating and maintenance instructions and procedure manuals
Ability to solve practical problems and handle a variety of concrete variables and interpret information furnished in written, oral and/or diagram form
Ability to speak, read, write and understand English
H1B sponsorship not available
Benefits
At Octapharma Plasma we believe in our employees who have the passion and ability to make a difference to the quality of life of their communities. The individual growth and success of each and every employee at Octapharma Plasma is an integral part of our continued growth and success. We offer competitive compensation and a comprehensive benefits package.
Other benefits of the BA role include:
Medical, Dental and Vision Insurance
Life Insurance
401(k) contribution and matching program
Flexible Spending Accounts
Tuition Reimbursement
Team-oriented environment
City of Portland
Portland, OR, USA
The Portland Water Bureau is seeking a Technology Manager to join their team.
The Portland Water Bureau's mission is serving excellent water every minute of every day. We have been serving the community since 1895, and today provide water to nearly 1 million Oregonians. We recognize that there are many challenges to fulfilling our mission and that technology plays an increasingly critical role in overcoming them: whether it is enhancing our ability to interact with our diverse customers in ways that meet their needs; planning for the future of the $8 billion dollars in assets that comprise Portland's water system; or ensuring that our employees have access to critical information they need to make decisions. To meet these challenges with a unified approach, maximizing technology, while ensuring the security of data and customer information, we are seeking an experienced Technology Manager.
The role of the Technology Manager is to ensure that new technologies work cohesively with existing technologies and that technology decisions are part of a comprehensive strategic plan/program. The bureau recognizes that using interconnected, advanced, progressive technology to manage, operate, forecast and communicate with our customers, each other and outside partners requires an overall vision and strategy that maximizes our technology investment.
The Technology Manager is responsible for developing and implementing a comprehensive technology plan that ensures new technologies enhance the bureau's efficiency and effectiveness, leverage and maximize existing systems, and contribute to the ability to achieve our mission and goals.
For more information, please click the "Apply Now" button on this page to visit our website.
The Portland Water Bureau is seeking a Technology Manager to join their team.
The Portland Water Bureau's mission is serving excellent water every minute of every day. We have been serving the community since 1895, and today provide water to nearly 1 million Oregonians. We recognize that there are many challenges to fulfilling our mission and that technology plays an increasingly critical role in overcoming them: whether it is enhancing our ability to interact with our diverse customers in ways that meet their needs; planning for the future of the $8 billion dollars in assets that comprise Portland's water system; or ensuring that our employees have access to critical information they need to make decisions. To meet these challenges with a unified approach, maximizing technology, while ensuring the security of data and customer information, we are seeking an experienced Technology Manager.
The role of the Technology Manager is to ensure that new technologies work cohesively with existing technologies and that technology decisions are part of a comprehensive strategic plan/program. The bureau recognizes that using interconnected, advanced, progressive technology to manage, operate, forecast and communicate with our customers, each other and outside partners requires an overall vision and strategy that maximizes our technology investment.
The Technology Manager is responsible for developing and implementing a comprehensive technology plan that ensures new technologies enhance the bureau's efficiency and effectiveness, leverage and maximize existing systems, and contribute to the ability to achieve our mission and goals.
For more information, please click the "Apply Now" button on this page to visit our website.
The Walt Disney Company
New York, NY, USA
Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL
2+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Data Scientists in the ESPN+ Analytics team focus on informing content decisions for ESPN+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
5+ years of analytical experience.
3+ years work experience using SQL
2+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
EMS, Inc.
Omaha, NE, USA
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
Upstart
San Carlos, CA, USA
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart
Columbus, OH, USA
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
icrunchdata Recruiting
Secaucus, NJ, USA
Our client is a nationally recognized Specialty Apparel Retailer looking for an ambitious hand-on Manager of Digital Testing with a passion for data mining, data analysis, measurement and testing, in order to support and optimize its rapid business growth. Great candidates will be able to understand the big picture needs of the business and deliver information with speed, accuracy and clarity.
You will be working with highly motivated and talented business analysts, and data scientists to generate actionable insight and analytics to empower data-driven decisions. The ideal candidate will have a background in a quantitative or technical field, and will have experience in data-driven decision making, particularly in driving the growth of digital products and working with integrated digital technology teams in a retail environment.
They should excel in cross-functional teams and thrive in a fast-paced organization. The individual must be able to manage and lead analytical projects independently, relying on their knowledge of retail business and testing data to create analyses and optimization strategies that give insight and direction to the business.
The individual will query, summarize and interpret the customer purchase history, demographic data, web analytics, marketing data to answer business questions critical to executing testing programs and help driving long term brand strategy. This role requires top level, polished communication to not only deliver data, but answer the business problem and give the data/analysis context.
Responsibilities:
Steward of testing process, responsible for gathering testing ideas and requirements, prioritizing tests to be conducted
Responsible for project managing entire testing program including testing methodology and documentation, setup tests and QA, execute tests, conduct custom measurement analysis, deliver and communicate test result
Ensure sound testing methodology, able to validate and recommend the most appropriate testing methodology
Partner with business stakeholders to brainstorm testing ideas, develop testing hypothesis, set testing success metrics, identify the best test design
Able to execute tests using tools and platforms such as Adobe
Manage measurement reporting using capabilities of the testing platform
Read, document, and communicate results and recommendations of all initiatives and A/B tests to stakeholders and senior leaders on a regular cadence
Inform, influence, and support business stakeholders through presentation of work and consultative approach
Communicate analytics results and customer insights clearly and effectively
Actively seek to share knowledge within the team and across business
Spreading best practices to analytics and product teams
Manages/Mentors junior team members through training, project support, and career advice
Requirements:
7+ years of experience doing quantitative analysis, statistical / analytics project work
Experience managing web/digital analytics
MS/MA in Statistics, Math, Physics, Engineering, Machine Learning, Economics, or other technical field.
Strong knowledge of A/B test, measurement and associated statistical methodologies
Experience using testing platform, such as Adobe Target
Good communication skills, including report writing and presentation of results, ability to communicate the results of analyses in a clear and effective manner
Ability to initiate and drive projects to completion with minimal guidance
Must have a passion for data and developing “data stories” that can be understood at the most senior levels
Bonus Skills:
Experience with Machine Learning techniques
Preferred experience with a statistical package such as SAS, R, etc.
Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
Our client is a nationally recognized Specialty Apparel Retailer looking for an ambitious hand-on Manager of Digital Testing with a passion for data mining, data analysis, measurement and testing, in order to support and optimize its rapid business growth. Great candidates will be able to understand the big picture needs of the business and deliver information with speed, accuracy and clarity.
You will be working with highly motivated and talented business analysts, and data scientists to generate actionable insight and analytics to empower data-driven decisions. The ideal candidate will have a background in a quantitative or technical field, and will have experience in data-driven decision making, particularly in driving the growth of digital products and working with integrated digital technology teams in a retail environment.
They should excel in cross-functional teams and thrive in a fast-paced organization. The individual must be able to manage and lead analytical projects independently, relying on their knowledge of retail business and testing data to create analyses and optimization strategies that give insight and direction to the business.
The individual will query, summarize and interpret the customer purchase history, demographic data, web analytics, marketing data to answer business questions critical to executing testing programs and help driving long term brand strategy. This role requires top level, polished communication to not only deliver data, but answer the business problem and give the data/analysis context.
Responsibilities:
Steward of testing process, responsible for gathering testing ideas and requirements, prioritizing tests to be conducted
Responsible for project managing entire testing program including testing methodology and documentation, setup tests and QA, execute tests, conduct custom measurement analysis, deliver and communicate test result
Ensure sound testing methodology, able to validate and recommend the most appropriate testing methodology
Partner with business stakeholders to brainstorm testing ideas, develop testing hypothesis, set testing success metrics, identify the best test design
Able to execute tests using tools and platforms such as Adobe
Manage measurement reporting using capabilities of the testing platform
Read, document, and communicate results and recommendations of all initiatives and A/B tests to stakeholders and senior leaders on a regular cadence
Inform, influence, and support business stakeholders through presentation of work and consultative approach
Communicate analytics results and customer insights clearly and effectively
Actively seek to share knowledge within the team and across business
Spreading best practices to analytics and product teams
Manages/Mentors junior team members through training, project support, and career advice
Requirements:
7+ years of experience doing quantitative analysis, statistical / analytics project work
Experience managing web/digital analytics
MS/MA in Statistics, Math, Physics, Engineering, Machine Learning, Economics, or other technical field.
Strong knowledge of A/B test, measurement and associated statistical methodologies
Experience using testing platform, such as Adobe Target
Good communication skills, including report writing and presentation of results, ability to communicate the results of analyses in a clear and effective manner
Ability to initiate and drive projects to completion with minimal guidance
Must have a passion for data and developing “data stories” that can be understood at the most senior levels
Bonus Skills:
Experience with Machine Learning techniques
Preferred experience with a statistical package such as SAS, R, etc.
Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
