Center for Creative Leadership
Greensboro, NC, USA
The Center for Creative Leadership (CCL), a world-renowned leadership development and research organization, has an opening for a research scientist specializing in network analysis. CCL integrates research and applications to create proven solutions to today’s leadership development challenges.
As a member of the Global Research and Evaluation group at CCL you will work on several different projects related to the study and development of leadership. A primary focus of this position will be applying network science and analysis to aid CCL in its efforts to arrive at a deeper understanding of leadership and to advance leadership development and in applying research to CCL products and services.
Specific duties and responsibilities will vary, but may include: designing research studies, collecting and analyzing data, managing large databases, learning and executing statistical analyses, developing relationships with research collaborators and clients, writing for high-impact journals as well as CEO & managerial audiences, presenting findings to both scientific and practitioner audiences and, working with internal CCL teams to commercialize products and services.
Candidates should have completed their Ph.D. before May 31, 2019 in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, and Social Psychology) and have up to 5 years of industry experience. A strong methodological, statistical, and theoretical research background as well as past experience presenting at major academic or practitioner conferences are required. The ability to demonstrate knowledge of network science as well as its application to organizational and leadership effectiveness required. Experience leading research projects and publishing in leading academic journals is referred.
The position is available immediately and the start date is negotiable
General Summary
The Research Scientist is a member of the Global Research and Evaluation faculty who makes significant contributions to theories and practice in the fields of leadership, leadership development, or other relevant disciplines. This person is responsible for designing and managing research projects as well as generating innovative ideas and approaches for CCL. A research scientist conducts, interprets, and communicates complex data analysis; presents findings at internationally recognized/high impact/strategic professional conferences and publishes results in peer-reviewed, upper tier journals, books and book chapters, and practice-focused publications.
Principal Duties and Responsibilities
Identifies promising areas of research and in partnership with others at CCL and designs projects to answer important theoretical and practical questions.
Skillfully aligns research questions with appropriate methods (design, data collection, analyses).
Collects and analyzes data, learning and executing statistical analyses as needed; and protects the security and confidentiality of data collected and analyzed.
Independently and in collaboration with others develops and publishes manuscripts at high-impact scientific journals as well as and non-academic publications for a general business audience.
Serves as subject matter expert for network science and social network analysis. Initiates and maintains relationships with project stakeholders, internal and external collaborators, and clients.
Develops CCL staff/facility capability in network science.
Contributes to CCL’s portfolio and Leadership Analytics Practice. Creates new products or practices based on scientific evidence.
Offers recommendations and insights that drive stronger business outcomes. Addresses needs and concerns of sales teams and clients to ensure the integration of network analytics services into broader CCL solutions.
Identifies funding or revenue sources and proactively pursues opportunities. Works with sales and marketing to review costs, anticipate volume, and develop strategies and plans for network analytics services.
Presents and/or chairs sessions at leading scientific and professional conferences.
Education
Requires a Ph.D. in in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, Social Psychology, Communication Studies, Computer Science)
Experience/Work Background
Up to five years’ experience working in academia, corporate business, and/or organizational development fields.
Experience using network science, methods and analysis in research is required Experience with advanced statistical research methods is required.
Experience working in or consulting with corporations is desirable.
Specific Knowledge, Skills and Abilities Required
Exceptional knowledge of relevant content areas, including but not limited to the fields of management/leadership, organizational development, talent management, adult learning theory, and human resource development.
Effective presentation and interpersonal skills (for interaction with clients, participants, and staff).
Strong statistical skills and experience using statistical software required. Proficiency in R and Git strongly preferred.
Ability to perform successfully as a solo, team, or lead researcher across a range of projects.
Ability to work within a high-paced environment with competing demands while ensuring high-quality work by self and team.
Flexible, adaptable with clients, colleagues and organization needs.
Exceptional organizational and planning skills.
Ability to create research projects and programs using sound theory and research designs.
Some travel may be required for conferences and working with clients as part of ongoing research efforts.
Jun 13, 2019
Full-time
The Center for Creative Leadership (CCL), a world-renowned leadership development and research organization, has an opening for a research scientist specializing in network analysis. CCL integrates research and applications to create proven solutions to today’s leadership development challenges.
As a member of the Global Research and Evaluation group at CCL you will work on several different projects related to the study and development of leadership. A primary focus of this position will be applying network science and analysis to aid CCL in its efforts to arrive at a deeper understanding of leadership and to advance leadership development and in applying research to CCL products and services.
Specific duties and responsibilities will vary, but may include: designing research studies, collecting and analyzing data, managing large databases, learning and executing statistical analyses, developing relationships with research collaborators and clients, writing for high-impact journals as well as CEO & managerial audiences, presenting findings to both scientific and practitioner audiences and, working with internal CCL teams to commercialize products and services.
Candidates should have completed their Ph.D. before May 31, 2019 in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, and Social Psychology) and have up to 5 years of industry experience. A strong methodological, statistical, and theoretical research background as well as past experience presenting at major academic or practitioner conferences are required. The ability to demonstrate knowledge of network science as well as its application to organizational and leadership effectiveness required. Experience leading research projects and publishing in leading academic journals is referred.
The position is available immediately and the start date is negotiable
General Summary
The Research Scientist is a member of the Global Research and Evaluation faculty who makes significant contributions to theories and practice in the fields of leadership, leadership development, or other relevant disciplines. This person is responsible for designing and managing research projects as well as generating innovative ideas and approaches for CCL. A research scientist conducts, interprets, and communicates complex data analysis; presents findings at internationally recognized/high impact/strategic professional conferences and publishes results in peer-reviewed, upper tier journals, books and book chapters, and practice-focused publications.
Principal Duties and Responsibilities
Identifies promising areas of research and in partnership with others at CCL and designs projects to answer important theoretical and practical questions.
Skillfully aligns research questions with appropriate methods (design, data collection, analyses).
Collects and analyzes data, learning and executing statistical analyses as needed; and protects the security and confidentiality of data collected and analyzed.
Independently and in collaboration with others develops and publishes manuscripts at high-impact scientific journals as well as and non-academic publications for a general business audience.
Serves as subject matter expert for network science and social network analysis. Initiates and maintains relationships with project stakeholders, internal and external collaborators, and clients.
Develops CCL staff/facility capability in network science.
Contributes to CCL’s portfolio and Leadership Analytics Practice. Creates new products or practices based on scientific evidence.
Offers recommendations and insights that drive stronger business outcomes. Addresses needs and concerns of sales teams and clients to ensure the integration of network analytics services into broader CCL solutions.
Identifies funding or revenue sources and proactively pursues opportunities. Works with sales and marketing to review costs, anticipate volume, and develop strategies and plans for network analytics services.
Presents and/or chairs sessions at leading scientific and professional conferences.
Education
Requires a Ph.D. in in a relevant field (e.g., I/O Psychology, Management, Organizational Behavior, Social Psychology, Communication Studies, Computer Science)
Experience/Work Background
Up to five years’ experience working in academia, corporate business, and/or organizational development fields.
Experience using network science, methods and analysis in research is required Experience with advanced statistical research methods is required.
Experience working in or consulting with corporations is desirable.
Specific Knowledge, Skills and Abilities Required
Exceptional knowledge of relevant content areas, including but not limited to the fields of management/leadership, organizational development, talent management, adult learning theory, and human resource development.
Effective presentation and interpersonal skills (for interaction with clients, participants, and staff).
Strong statistical skills and experience using statistical software required. Proficiency in R and Git strongly preferred.
Ability to perform successfully as a solo, team, or lead researcher across a range of projects.
Ability to work within a high-paced environment with competing demands while ensuring high-quality work by self and team.
Flexible, adaptable with clients, colleagues and organization needs.
Exceptional organizational and planning skills.
Ability to create research projects and programs using sound theory and research designs.
Some travel may be required for conferences and working with clients as part of ongoing research efforts.
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
Jun 11, 2019
Full-time
Colgate University is committed to recruiting and retaining a talented diverse workforce and recognizes diversity is integral to the University's achievement of excellence, as it enhances the ability of the University to accomplish its academic mission and to foster a respectful, equitable work environment.
The University's Equal Opportunity (EEO)/Affirmative Action (AA) function affirms and promotes our commitment to equal opportunity and affirmative action and offers an exciting opportunity for an EEO/AA Data Analyst. Reporting to the Executive Director for EEO/AA, and Equity and Inclusion, this position will enhance the university's data management and data systems necessary for the University's EEO/AA federal regulatory and legal compliance.
This role will focus on data analysis related to equal employment opportunity, affirmative action, equity, and inclusion. It is accountable for:
organizing and automating procedures for ongoing data management
creating systems to analyze and reconcile workforce and personnel transaction data (either automated or manual), and where possible refining employment-related data sets
aggregating, analyzing, and compiling information relevant to EEO/AA and other diversity, equity, and inclusion initiatives.
assisting with the development and production of federally mandated EEO/AA related reports, such as the Vets2412 and the utilization and selection data of individuals with disabilities and protected veterans.
Creating detailed documentation of complex processes.
Professional Experience/Qualifications:
Bachelor's degree in a relevant area, or three years of relevant work experience, or a combination of education and relevant work experience.
Must be capable of working collegially with a diverse group of students, faculty, staff, and visitors on a daily basis.
Must demonstrate multicultural competence, active listening, critical thinking, and interpersonal skills.
Familiarity, or ability to quickly learn, functions of spreadsheets (e.g., Excel, Google Sheets).
Preferred Qualifications:
Knowledge of data concepts and automated production of reports.
Willingness to work with automated/digital and non-automated/digital data sets.
EEO/Statement:
It is the policy of Colgate University not to discriminate against any employee or applicant for employment on the basis of their race, color, creed, religion, age, sex, pregnancy, national origin, marital status, disability, protected Veterans status, sexual orientation, gender identity or expression, genetic information, being or having been victims of domestic violence or stalking, familial status, or any other categories covered by law. Colgate is an Equal Opportunity/Affirmative Action employer. Candidates from historically underrepresented groups, women, persons with disabilities, and protected veterans are encouraged to apply.
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;
May 31, 2019
Full-time
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;
Why E. & J. Gallo Winery?
Recognized by Glassdoor as a "Best Place to Work" two years in a row, we couldn't be prouder of our employees. We are the largest family-owned winery in the world with over 100 brands. We are committed to driving innovation, sustainability, and fostering a culture of collaboration. We look forward to having you join the team! Your Talent & Gallo | A Perfect Pairing
As a Statistician at E. & J. Gallo Winery, you will use a wide range of analysis techniques to impact the business across the winery. You will employ your exceptional technical and communication skills to design and influence research plans. You will enjoy the challenge and experience of working with a variety of different clients and customers, identifying opportunities to improve, and developing pride and confidence in your work.
What You Will Do
Diverse and Interesting Statistical Analysis
Independently conducts full data analysis and interpretation, providing actionable recommendations
Applies expertise with multiple statistical analysis methodologies such as experimental designs, segmentation, ANOVA, regression based modeling, mixed modeling, SEM, etc .
Project Management and Reporting
Consults with cross-functional partners such as Marketing, Digital Marketing, Shopper Marketing, Sales, Consumer Research, and Sensory to develop project objectives, experimental designs and executes project tasks
Leads internal and client-facing project meetings and presentations
Generates summaries that are useful to all levels of management in both business and technical areas
Data Management
Responsible for data integrity by examining outliers, missing values, expected ranges, skip patterns, etc.
Evaluates new applications and identifies opportunities for new data collection tools and sources
Monitors changes in our data ecosystem to evaluate the impact on current research and modeling strategies
What You Need
Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 2 years of statistics or marketing research experience reflecting increasing levels of responsibility OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 4 years of statistics or marketing research experience reflecting increasing levels of responsibility.
What Will Set You Apart
Ph.D. in Statistics or Marketing Research plus 2 years statistics or market research experience reflecting increasing levels of responsibility
Knowledge of statistical software such as SPSS, SAS, SQL, R, IRI Advantage Pro, Python, Tableau Sawtooth, and Unscrambler
Skilled in the use of MS Excel (templates, macros, pivot tables)
Strong oral and communication skills and ability to convey statistical concepts and results to non-technical audiences
Database modeling or programming experience
CPG or Alcohol Beverage Experience
Gallo does not sponsor for employment based visas for this position now or in the future.
May 31, 2019
Full-time
Why E. & J. Gallo Winery?
Recognized by Glassdoor as a "Best Place to Work" two years in a row, we couldn't be prouder of our employees. We are the largest family-owned winery in the world with over 100 brands. We are committed to driving innovation, sustainability, and fostering a culture of collaboration. We look forward to having you join the team! Your Talent & Gallo | A Perfect Pairing
As a Statistician at E. & J. Gallo Winery, you will use a wide range of analysis techniques to impact the business across the winery. You will employ your exceptional technical and communication skills to design and influence research plans. You will enjoy the challenge and experience of working with a variety of different clients and customers, identifying opportunities to improve, and developing pride and confidence in your work.
What You Will Do
Diverse and Interesting Statistical Analysis
Independently conducts full data analysis and interpretation, providing actionable recommendations
Applies expertise with multiple statistical analysis methodologies such as experimental designs, segmentation, ANOVA, regression based modeling, mixed modeling, SEM, etc .
Project Management and Reporting
Consults with cross-functional partners such as Marketing, Digital Marketing, Shopper Marketing, Sales, Consumer Research, and Sensory to develop project objectives, experimental designs and executes project tasks
Leads internal and client-facing project meetings and presentations
Generates summaries that are useful to all levels of management in both business and technical areas
Data Management
Responsible for data integrity by examining outliers, missing values, expected ranges, skip patterns, etc.
Evaluates new applications and identifies opportunities for new data collection tools and sources
Monitors changes in our data ecosystem to evaluate the impact on current research and modeling strategies
What You Need
Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 2 years of statistics or marketing research experience reflecting increasing levels of responsibility OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science, etc.) plus 4 years of statistics or marketing research experience reflecting increasing levels of responsibility.
What Will Set You Apart
Ph.D. in Statistics or Marketing Research plus 2 years statistics or market research experience reflecting increasing levels of responsibility
Knowledge of statistical software such as SPSS, SAS, SQL, R, IRI Advantage Pro, Python, Tableau Sawtooth, and Unscrambler
Skilled in the use of MS Excel (templates, macros, pivot tables)
Strong oral and communication skills and ability to convey statistical concepts and results to non-technical audiences
Database modeling or programming experience
CPG or Alcohol Beverage Experience
Gallo does not sponsor for employment based visas for this position now or in the future.
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
May 30, 2019
Full-time
The transportation and logistics industry is in the midst of an exciting transformation.
The Sr Analyst within the Strategic Analytics group at Echo is responsible for turning the vast amounts of internal and external data into value for the organization. This includes sales and margin performance, operational efficiencies and optimizations, staff performance and turnover, marketing impact and ROI, and more.
This role uses coding and analytic techniques, including text mining, unstructured data parsing, descriptive and predictive modeling, machine learning, database mining and exploration, and R&D into new emerging techniques from academia and the private sector.
Job requirements:
Undergrad or graduate degree in analytics, mathematics, statistics, engineering, computer science, or natural sciences such as physics or chemistry.
Performing sophisticated analysis with unstructured or semi-structured data.
Experience coding in Python, R, VBA, NoSQL is a plus.
Able to manipulate complex relational databases using SQL.
Experience performing text analytics.
Awareness of advanced techniques and Big Data storage/manipulation/computation solutions, such as AWS Redshift, Google Cloud Big Query, Spark, Hadoop, MongoDB, or other.
Keen curiosity to pursue unanswered questions and quantify unexplored relationships in the data.
Data visualization abilities and interpretation of complex outputs into straightforward business recommendations.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.
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
May 30, 2019
Full-time
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 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
May 30, 2019
Full-time
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
General Purpose
Provides advice and counsel to management and client organizations. Conducts special studies and analyses, develops alternatives, presents recommendations to management and influences management decisions. Researches, analyzes, develops and implements new strategies, programs, and/or processes in response to changing internal and external conditions.
Responsibilities
Act as an expert on load research and the statistical rigor of sample design.
Process customer class loads for regulatory filings.
Gather, analyze and audit interval load data.
Audit business system data and implement processes to correct for inconsistencies.
Analyze business processes, conduct special studies, develop alternatives and present recommendations to management and influence management decisions.
Identify and recommend long-range asset data management and system improvements to strategically balance risk and reward.
Develop and recommend long range programs for load research studies.
Manage the budget process to ensure that all stakeholders have their needs met.
Report complex information in simple terms, and communicate throughout the organization.
Act as expert on maintaining integrity of metered interval load data.
Research and analyze relevant data, evaluate complex situations, develop creative alternatives, provide recommendations, and negotiate and influence outcomes.
Provide analytical support for state and federal regulatory proceedings.
Prepare responses to data requests in support of load research studies.
Requirements
Bachelor’s Degree in Statistics, Economics, Mathematics, Business Administration, or a related field; or the equivalent combination of education and experience.
A minimum of seven years of experience in an applicable field directly related to position responsibilities.
Program design skills including development of interventions, processes, or new or modified programs to meet customer needs.
Excellent communication and interpersonal skills involving the ability to establish trust, maintain confidence, and understand social behavior and interactions.
Ability to work with all organizational levels to influence actions and negotiate outcomes
Ability to listen and communicate effectively through oral and written means.
Proficient with the use of personal computers to gather, analyze, and summarize data.
Project management and leadership skills, including the ability to work as a team member, to maintain project timelines, budgets, and deliver on commitments.
Knowledge of research, analysis and consulting techniques, Company policies, procedures, practices, and applicable federal, state, and local governmental laws and regulations.
Preferences
Working knowledge of relational databases and statistical forecasting software, including Oracle Utilities Load Analysis (OULA), SAS, IBM Cognos, SAP Business Objects, and SQL.
Experience working with Advanced Metering Infrastructure (AMI) data
Previous utility operations experience in a load research role.
Previous supervisory or lead experience is desired
The ability to manage client and vendor relationships.
Additional Information
Primary Location: Portland
Department: Pacific Power
Schedule: Full-time
Personnel Subarea: Exempt
Hiring Range: 88,000.00 - 107,300.00
Employees must be able to perform the essential functions of the position with or without an accommodation.
At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees. We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential.
It is PacifiCorp's policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities. In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.
All offers of employment are contingent upon the successful completion of a background check and drug screening.
May 22, 2019
Full-time
General Purpose
Provides advice and counsel to management and client organizations. Conducts special studies and analyses, develops alternatives, presents recommendations to management and influences management decisions. Researches, analyzes, develops and implements new strategies, programs, and/or processes in response to changing internal and external conditions.
Responsibilities
Act as an expert on load research and the statistical rigor of sample design.
Process customer class loads for regulatory filings.
Gather, analyze and audit interval load data.
Audit business system data and implement processes to correct for inconsistencies.
Analyze business processes, conduct special studies, develop alternatives and present recommendations to management and influence management decisions.
Identify and recommend long-range asset data management and system improvements to strategically balance risk and reward.
Develop and recommend long range programs for load research studies.
Manage the budget process to ensure that all stakeholders have their needs met.
Report complex information in simple terms, and communicate throughout the organization.
Act as expert on maintaining integrity of metered interval load data.
Research and analyze relevant data, evaluate complex situations, develop creative alternatives, provide recommendations, and negotiate and influence outcomes.
Provide analytical support for state and federal regulatory proceedings.
Prepare responses to data requests in support of load research studies.
Requirements
Bachelor’s Degree in Statistics, Economics, Mathematics, Business Administration, or a related field; or the equivalent combination of education and experience.
A minimum of seven years of experience in an applicable field directly related to position responsibilities.
Program design skills including development of interventions, processes, or new or modified programs to meet customer needs.
Excellent communication and interpersonal skills involving the ability to establish trust, maintain confidence, and understand social behavior and interactions.
Ability to work with all organizational levels to influence actions and negotiate outcomes
Ability to listen and communicate effectively through oral and written means.
Proficient with the use of personal computers to gather, analyze, and summarize data.
Project management and leadership skills, including the ability to work as a team member, to maintain project timelines, budgets, and deliver on commitments.
Knowledge of research, analysis and consulting techniques, Company policies, procedures, practices, and applicable federal, state, and local governmental laws and regulations.
Preferences
Working knowledge of relational databases and statistical forecasting software, including Oracle Utilities Load Analysis (OULA), SAS, IBM Cognos, SAP Business Objects, and SQL.
Experience working with Advanced Metering Infrastructure (AMI) data
Previous utility operations experience in a load research role.
Previous supervisory or lead experience is desired
The ability to manage client and vendor relationships.
Additional Information
Primary Location: Portland
Department: Pacific Power
Schedule: Full-time
Personnel Subarea: Exempt
Hiring Range: 88,000.00 - 107,300.00
Employees must be able to perform the essential functions of the position with or without an accommodation.
At PacifiCorp, we encourage everyone to work together. We embrace diversity and value the distinct perspectives of all our employees. We strive to cultivate a workplace that connects each employee to the organization and enables all individuals to participate and contribute to their full potential.
It is PacifiCorp's policy to provide and promote equal employment opportunity to all employees and applicants in accordance with local, state and federal laws and regulations governing personnel activities. In accordance with federal guidelines, PacifiCorp is committed to a program of affirmative action. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, veteran status, national origin, sexual orientation or gender identity.
All offers of employment are contingent upon the successful completion of a background check and drug screening.
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Travel Operations Analytics and does not have direct reports.
Responsibilities:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Leverage analytics to continuously recommend optimization tactics that will improve site performance.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Define and execute quality assurance procedures to ensure accuracy of analytical output.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
3+ years relevant work experience in an analytical field
2+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics
Ability to derive actionable insights from data and effectively guide decision-making
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills
Proactive problem-solving and critical thinking skills
Ability to manage time effectively and consistently meet deadlines
Proficient in Microsoft Office suite
Preferred Qualifications:
5+ years web analytics experience
Travel industry and ecommerce experience
Experience with A/B testing and website optimization
Ability to apply statistical rigor to analyses
Knowledge of web page construction and/or user experience design
Experience with business intelligence tools
Experience with SQL, Hive, SAS and/or other programming languages
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience
Jun 06, 2019
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Travel Operations Analytics and does not have direct reports.
Responsibilities:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Leverage analytics to continuously recommend optimization tactics that will improve site performance.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Define and execute quality assurance procedures to ensure accuracy of analytical output.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
3+ years relevant work experience in an analytical field
2+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics
Ability to derive actionable insights from data and effectively guide decision-making
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills
Proactive problem-solving and critical thinking skills
Ability to manage time effectively and consistently meet deadlines
Proficient in Microsoft Office suite
Preferred Qualifications:
5+ years web analytics experience
Travel industry and ecommerce experience
Experience with A/B testing and website optimization
Ability to apply statistical rigor to analyses
Knowledge of web page construction and/or user experience design
Experience with business intelligence tools
Experience with SQL, Hive, SAS and/or other programming languages
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience
The Operations Analyst will support Walt Disney Parks & Resorts Health Services and be responsible for gathering data from multiple data sources that are related to Health Services Occupational Health and Wellness programming. Key responsibility will be to analyze data for trends, and present the data story to Health Services Leadership.
Responsibilities:
Analyze data from various sources using statistical models.
Perform the collection and analysis of data, by using observations, interviews, and surveys.
Produce visuals to effectively communicate study findings to business leaders.
Complete Daily, Weekly, and Quarterly system audits/reporting.
Create reporting and financial models.
Contribute to the planning of detailed studies of population health issues to discover ways to prevent them and evaluate effectiveness of interventions.
Provide contribution to health programs by participating in program planning, monitoring program progress, and doing data analysis.
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.
Conduct research to develop methodologies, instrumentation and procedures for study design, analyzing data and presenting findings.
Review current scientific literature.
Develop and test hypotheses about cast member populations as they relate to health and well-being.
Provide useful data and consultation to internal and external parties.
Use computer modeling techniques to assess the potential impact of disease and health changes in a given population.
Participate in broad-scale interdisciplinary projects over extended timeframes.
Support strategic initiatives for health and wellness.
Establish positive relationships with other cast members and stakeholders.
Ensure continuous improvement on all facets projects through innovation, and meeting timelines and benchmarks.
Basic Qualifications:
Possess strong analytical skills.
Strong interpersonal and communication skills.
Ability to partner with multiple business areas.
Ability to work flexibly and meet deadlines.
Experience with systems and tools including MySQL, MS Office (with a focus on Excel and Access), and other analytical and visualization tools (e. g. Tableau, EpiInfo)
Possess strong communications (speaking and writing) skills.
Critical thinking.
Detail oriented.
Foundational skills in math and statistics.
Preferred Qualifications:
3-5 Years of applicable experience in population and health care analytics
Required Education:
Bachelors Degree in Statistics, Epidemiology, or similar field
Preferred Education:
Master of Public Health with focus in Epidemiology
Jun 05, 2019
Part-time
The Operations Analyst will support Walt Disney Parks & Resorts Health Services and be responsible for gathering data from multiple data sources that are related to Health Services Occupational Health and Wellness programming. Key responsibility will be to analyze data for trends, and present the data story to Health Services Leadership.
Responsibilities:
Analyze data from various sources using statistical models.
Perform the collection and analysis of data, by using observations, interviews, and surveys.
Produce visuals to effectively communicate study findings to business leaders.
Complete Daily, Weekly, and Quarterly system audits/reporting.
Create reporting and financial models.
Contribute to the planning of detailed studies of population health issues to discover ways to prevent them and evaluate effectiveness of interventions.
Provide contribution to health programs by participating in program planning, monitoring program progress, and doing data analysis.
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.
Conduct research to develop methodologies, instrumentation and procedures for study design, analyzing data and presenting findings.
Review current scientific literature.
Develop and test hypotheses about cast member populations as they relate to health and well-being.
Provide useful data and consultation to internal and external parties.
Use computer modeling techniques to assess the potential impact of disease and health changes in a given population.
Participate in broad-scale interdisciplinary projects over extended timeframes.
Support strategic initiatives for health and wellness.
Establish positive relationships with other cast members and stakeholders.
Ensure continuous improvement on all facets projects through innovation, and meeting timelines and benchmarks.
Basic Qualifications:
Possess strong analytical skills.
Strong interpersonal and communication skills.
Ability to partner with multiple business areas.
Ability to work flexibly and meet deadlines.
Experience with systems and tools including MySQL, MS Office (with a focus on Excel and Access), and other analytical and visualization tools (e. g. Tableau, EpiInfo)
Possess strong communications (speaking and writing) skills.
Critical thinking.
Detail oriented.
Foundational skills in math and statistics.
Preferred Qualifications:
3-5 Years of applicable experience in population and health care analytics
Required Education:
Bachelors Degree in Statistics, Epidemiology, or similar field
Preferred Education:
Master of Public Health with focus in Epidemiology
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of the platform. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
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.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
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:
4+ years of analytical experience.
2+ years work experience using SQL
Experience with Python/R or other statistical programming language a plus
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.
Degree in an analytical field.
May 31, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. This segment is responsible for The Walt Disney Company’s direct-to-consumer businesses globally, including the ESPN+ sports streaming service, programmed in partnership with ESPN; the upcoming Disney-branded direct-to-consumer streaming service; and the Company’s ownership stake in Hulu. As part of the Direct-to-Consumer and International segment, Disney Streaming Services, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company. We are seeking a Senior Data Analyst who will focus on analyzing subscriber retention and engagement. Collaborating across marketing, product, data engineering, data science and business teams, this position will design and implement reporting that enables internal clients to access, explore and monitor data, as well as perform analysis and share underlying trends and insights to help teams have a better understanding of the ESPN+ and Disney+ subscriber, audience behavior and engagement drivers.
Responsibilities:
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Goaling and KPIs: Work “full-stack” to define KPIs and goal metrics with XFN stakeholders, forecast outcomes, and measure pacing against those targets.
Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand performance of the platform. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
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.
Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches, and create targets for driving business performance.
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:
4+ years of analytical experience.
2+ years work experience using SQL
Experience with Python/R or other statistical programming language a plus
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.
Degree in an analytical field.
Consumer Insights, Measurement, & Analytics (CIMA) is a team within Walt Disney Parks & Resorts (WDP&R) Global Marketing & Sales that is focused on inspiring consumer-centric, data-driven, high return decision making that leverages insights and relevant data at the core of every business decision. This role within CIMA will coordinate efforts to influence Marketing and Media spend to generate the highest Return on Investment possible and influence and inform Marketing strategy development and enterprise-wide executive-level decision-making by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data. The focus of this role will be Disney Cruise Line, Adventures by Disney, and Aulani, but may expand to take on additional businesses as needed.
Responsibilities:
Lead analytic efforts to assess Marketing initiatives and develop a better understanding of marketing effectiveness and follow emerging trends in media measurement and media mix modeling.
This position will help the organization in evaluating marketing campaign performance, researching industry trends, proactively identifying and solving opportunities for value-added analysis, developing points of view to drive results, work closely with partners that build media mix models, drive scenario planning leveraging MROI insights, track key indicators of marketing, media, and business performance, and framing recommendations for leadership.
The successful candidate will have a mix of marketing and analytic experience along with demonstrated ability with having connected the dots between desired marketing campaign / business outcomes and actual results to make actionable recommendations to improve performance.
The position will partner with a spectrum of teams from across the WDP&R organization to ensure all relevant organizational goals and implications are appropriately considered.
A successful candidate will have strong relationship skills and be able to effectively analyze and integrate results from across the broader CIMA team as well as key partner areas within and outside Global Marketing & Sales, including Marketing & Sales Strategy, Global Media Strategy, Digital Marketing, WDP&R Online, Pricing, Planning & Forecasting, and Finance.
Basic Qualifications:
Minimum four (4) years experience in analytics, business planning or similar role, preferably within the travel industry
Marketing knowledge or experience
Solid analytical and technical problem solving skills, including strong knowledge of statistics and data mining
Demonstrated ability to effectively handle multiple tasks simultaneously
Demonstrated advanced proficiency in analytic software applications such as Excel, Tableau and/or SAS
Demonstrated excellent interpersonal skills, including ability to ask questions to gain understanding, partner with others and deal with differing points of view
Ability to collaborate in a team environment and with a variety of stakeholders at all levels
Creative problem-solving skills, with the ability to think strategically and act tactically
Demonstrated attention to detail and focus on excellence in work product delivery
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Ability to approach work with high energy and a results-oriented mindset
Ability to identify and handle issues proactively and decisively with limited direction and oversight while also communicating consistently to executive leadership
Preferred Qualifications:
Experience working with digital and traditional media effectiveness data
Experience working in or with Marketing teams
Strong influencing and negotiating skills
Demonstrated ability to develop and deliver persuasive presentations of complex business issues to senior executives
Demonstrated ability to quickly gain a conceptual understanding of a complex situation and establish immediate credibility
Required Education:
Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education:
MBA or Master's Degree in an analytic field
May 25, 2019
Full-time
Consumer Insights, Measurement, & Analytics (CIMA) is a team within Walt Disney Parks & Resorts (WDP&R) Global Marketing & Sales that is focused on inspiring consumer-centric, data-driven, high return decision making that leverages insights and relevant data at the core of every business decision. This role within CIMA will coordinate efforts to influence Marketing and Media spend to generate the highest Return on Investment possible and influence and inform Marketing strategy development and enterprise-wide executive-level decision-making by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data. The focus of this role will be Disney Cruise Line, Adventures by Disney, and Aulani, but may expand to take on additional businesses as needed.
Responsibilities:
Lead analytic efforts to assess Marketing initiatives and develop a better understanding of marketing effectiveness and follow emerging trends in media measurement and media mix modeling.
This position will help the organization in evaluating marketing campaign performance, researching industry trends, proactively identifying and solving opportunities for value-added analysis, developing points of view to drive results, work closely with partners that build media mix models, drive scenario planning leveraging MROI insights, track key indicators of marketing, media, and business performance, and framing recommendations for leadership.
The successful candidate will have a mix of marketing and analytic experience along with demonstrated ability with having connected the dots between desired marketing campaign / business outcomes and actual results to make actionable recommendations to improve performance.
The position will partner with a spectrum of teams from across the WDP&R organization to ensure all relevant organizational goals and implications are appropriately considered.
A successful candidate will have strong relationship skills and be able to effectively analyze and integrate results from across the broader CIMA team as well as key partner areas within and outside Global Marketing & Sales, including Marketing & Sales Strategy, Global Media Strategy, Digital Marketing, WDP&R Online, Pricing, Planning & Forecasting, and Finance.
Basic Qualifications:
Minimum four (4) years experience in analytics, business planning or similar role, preferably within the travel industry
Marketing knowledge or experience
Solid analytical and technical problem solving skills, including strong knowledge of statistics and data mining
Demonstrated ability to effectively handle multiple tasks simultaneously
Demonstrated advanced proficiency in analytic software applications such as Excel, Tableau and/or SAS
Demonstrated excellent interpersonal skills, including ability to ask questions to gain understanding, partner with others and deal with differing points of view
Ability to collaborate in a team environment and with a variety of stakeholders at all levels
Creative problem-solving skills, with the ability to think strategically and act tactically
Demonstrated attention to detail and focus on excellence in work product delivery
Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
Ability to approach work with high energy and a results-oriented mindset
Ability to identify and handle issues proactively and decisively with limited direction and oversight while also communicating consistently to executive leadership
Preferred Qualifications:
Experience working with digital and traditional media effectiveness data
Experience working in or with Marketing teams
Strong influencing and negotiating skills
Demonstrated ability to develop and deliver persuasive presentations of complex business issues to senior executives
Demonstrated ability to quickly gain a conceptual understanding of a complex situation and establish immediate credibility
Required Education:
Bachelor’s Degree (or equivalent) with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
Preferred Education:
MBA or Master's Degree in an analytic field
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Senior Product Marketing Manager role will focus on all aspects of how DTCI’s Data Platform services multiple use cases (segmentation, identity unification, activation and self-serve analytics offerings) across a diverse group of stakeholders including ad sales, marketing, research, product, among others. You provide the connective tissue between your stakeholders and technical product management partners responsible for building the products to stakeholder requirements. You represent the voice of the customer and are responsible for driving the product strategy, execution and launch of key data-driven products across DTCI’s portfolio of media properties. You must be an analytical, articulate, and business-minded self-starter, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of an analytics product lifecycle.
Responsibilities:
Define/provide input to and execute the product strategy, design and build for data activation, identity and self-service analytics products to support stakeholder business objectives and priorities.
Partner with Technical Product Manager to manage the product lifecycle, including the execution of go-to-market plans (product positioning, competitive analysis, target stakeholder segments, use cases, training), define product requirements, resolve product issues, and deliver new products and/or enhancements.
Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution and communication.
Evaluate and communicate market and stakeholder needs based on product performance, feedback, and industry trends to drive the conception and prioritization of new data products and features, while balancing overall revenue driving opportunities.
Established as a subject matter expert on the uses of the Data Platform, acting as source of communication between stakeholders and technical teams by providing education and sales support on the segmentation, identity unification or self-service analytics suite value propositions and features to help grow adoption and usage of our products within DTCI.
Basic Qualifications:
Must have minimum 6 years previous experience in product management, product marketing, data, technology, digital marketing and/or consulting in a related field.
Must have experience with data, including data products such as Data Management Platforms or Data Matching Partners. (e.g.: Datalogix, LiveRamp, BlueKai, Adobe, Experian, Facebook, etc.) and business intelligence solutions (e.g. Looker, Domo, Business Objects, and Tableau)
Demonstrated experience with running complex projects across a matrixed organization
Excellent problem-solving, confidence in explaining intricate problems & solutions in a simple way, and able to balance working autonomously as well as cross-functionally
Curious, passionate and exhibits strong worth ethic
Required Education:
Bachelor in quantitative field (Economics, Statistics, Finance, or Mathematics)
May 24, 2019
Full-time
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Senior Product Marketing Manager role will focus on all aspects of how DTCI’s Data Platform services multiple use cases (segmentation, identity unification, activation and self-serve analytics offerings) across a diverse group of stakeholders including ad sales, marketing, research, product, among others. You provide the connective tissue between your stakeholders and technical product management partners responsible for building the products to stakeholder requirements. You represent the voice of the customer and are responsible for driving the product strategy, execution and launch of key data-driven products across DTCI’s portfolio of media properties. You must be an analytical, articulate, and business-minded self-starter, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of an analytics product lifecycle.
Responsibilities:
Define/provide input to and execute the product strategy, design and build for data activation, identity and self-service analytics products to support stakeholder business objectives and priorities.
Partner with Technical Product Manager to manage the product lifecycle, including the execution of go-to-market plans (product positioning, competitive analysis, target stakeholder segments, use cases, training), define product requirements, resolve product issues, and deliver new products and/or enhancements.
Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution and communication.
Evaluate and communicate market and stakeholder needs based on product performance, feedback, and industry trends to drive the conception and prioritization of new data products and features, while balancing overall revenue driving opportunities.
Established as a subject matter expert on the uses of the Data Platform, acting as source of communication between stakeholders and technical teams by providing education and sales support on the segmentation, identity unification or self-service analytics suite value propositions and features to help grow adoption and usage of our products within DTCI.
Basic Qualifications:
Must have minimum 6 years previous experience in product management, product marketing, data, technology, digital marketing and/or consulting in a related field.
Must have experience with data, including data products such as Data Management Platforms or Data Matching Partners. (e.g.: Datalogix, LiveRamp, BlueKai, Adobe, Experian, Facebook, etc.) and business intelligence solutions (e.g. Looker, Domo, Business Objects, and Tableau)
Demonstrated experience with running complex projects across a matrixed organization
Excellent problem-solving, confidence in explaining intricate problems & solutions in a simple way, and able to balance working autonomously as well as cross-functionally
Curious, passionate and exhibits strong worth ethic
Required Education:
Bachelor in quantitative field (Economics, Statistics, Finance, or Mathematics)
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and data visualization. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities:
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications:
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education:
BA/ BS in Mathematics, Statistics , or related field
May 18, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Workforce Analyst in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and data visualization. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analytics to modeling to dashboards that provide decision support for workforce related issues.
Responsibilities:
Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization
Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning
Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses.
Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization
Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives to optimize HR efficiencies
Basic Qualifications:
You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R)
Required Education:
BA/ BS in Mathematics, Statistics , or related field
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
May 04, 2019
Full-time
Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.
Primary Responsibilities:
Leads multiple, high impact data research/analytics projects and programs.
Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches.
Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives.
Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques.
Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions.
Provides leadership in the development of test strategy and measurement plans.
Plans, implements, and tracks long-term and short-term data projects.
Partners with technology teams to operationalize findings from exploratory data sourcing sprints.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases.
DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives.
DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation.
DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
May 03, 2019
Full-time
Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY)
The Opportunity
We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities.
You will:
Apply data & analytical skills to help understand how our customers use our products
Partner closely with product leadership to define, measure and report on core product and feature metrics
Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes
Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s)
Collaborate with data and business intelligence teams to develop reports and visualization dashboards
Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance
You have:
Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics
Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale
Deep understanding of statistics, experimental design, and causal inference
The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders
Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms
Passion for technology and consumer products
Why StubHub?
StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA.
Our Values
StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences
At StubHub, we are:
Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
May 03, 2019
Full-time
This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations.
Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation.
Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA.
Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action.
Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations.
Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story.
Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive.
Past work experience in Supply Chain, R and/or Python is a plus.
Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates.
Challenging status quo and passion to drive smart change using data is essential to the job.
Qualifications
BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience.
This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position.
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
