Who we are:
Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry. We are a family of brands focused on developing technology and building connections that enable peace of mind. Our Mission is to be a positive force in people’s lives, and we live it every day. For the past 20 years, we have connected top-ranked, premier, personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. This role is based out of headquarters in Burbank, CA.
What we are looking for:
The Digital Marketing Analyst will be a highly valued member of the Revenue & Analytics team. This role will be the subject matter expert in marketing analytics, especially with using Google Analytics. This role will analyze site behavior and customer conversion funnels KPI’s using various analytics tools to recommend changes and improve performance for the company. This role requires thought leadership and deep analytical horsepower that will drive the innovation and processes that will convert raw data into valuable business insights and strategies.
This is a fantastic opportunity to apply an analytics background in helping to guide our company to smart long- term decisions. To be successful in this role and to grow within the company, the ideal candidate for this position should be a passionate, driven, results-oriented individual. As this is a high visibility and high impact position, you will have regular exposure to top management.
Some of which you will be accountable for:
Manage Google Analytics implementation, including segments, funnels, custom reports, custom dimension, experiments, attribution models and ad hoc reporting.
Use data and analytics to optimize marketing throughout the organization for multiple marketing channels/campaigns and across multiple brands/marketing platforms (web, mobile, apps, call tracking).
Provide dynamic analysis and outline opportunities to profitably grow sales, spend marketing budgets more efficiently, and track progress towards key marketing strategy and tactical goals.
Work directly with marketing and business leaders to identify and understand business challenges, develop performance baselines and design strategies for measurably improving new campaigns/creative/flows/funnels against baselines.
Analyze customer/prospect behaviors and KPI’s using analytics tools and make recommendations.
Improve campaign performance by implementing A/B testing from end-to-end, including, ideation and design, monitoring and reporting of results.
Help manage the tagging infrastructure, which includes source data generation (campaign tagging, page tagging, event tagging) and data capture/filtering (Default Channel Groupings in Google Analytics).
Help onboard new marketing partners which often includes setting up campaign tracking, reporting and sometimes Base/Conversions pixels in Google Tag Manager (GTM).
We are looking for you if…
You’re passionate about all things marketing and analytics. Good vibes, good energy is a must. Our ideal candidate has at least 3 years’ experience in an analytical role with a strong background in data analysis and quantitative thinking, along with a strong ability to interpret results and provide insights. You have experience with designing and setting up A/B test with Optimize, Optimizely, or VWO and campaign/website tagging – experience with Google Analytics 360, Google Tag Manager, Google Optimize, Data Studio, DoubleClick, and any Call Tracking system a big plus.
Other qualities that would make you successful in this role:
2+ years of dedicated experience with technical marketing
1+ years of managing Google Analytics for a company.
Advanced experience in Microsoft Excel.
Able to provide detailed and accurate reporting.
Detail orientated and self-motivated with a proven ability to successfully manage multiple projects simultaneously.
Experience using data visualization tools
Detail-oriented, self-motivated, and an excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment
Should be highly analytical and driven by finding key insights from complex data sets
Proven ability to execute and promote continuous improvement and to immediately add value to the team
Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
Bonus Points if you have the following…
Bachelor’s in Engineering, Business/Marketing, Finance, Computer Science, or other technical or quantitative field strongly preferred.
Google Analytics Certification.
Exposure to mobile app analytics.
Excellent planning and organizational skills
Solid business acumen and understanding of marketing strategies
Ability to develop cross-department cooperation and understanding of optimal solutions proven out by analytic rigor
Use advanced data visualization techniques to communicate solutions to business stakeholders
What you get:
Outlook Amusements has a dynamic, close-knit culture of teamwork and innovation. We know that your success is our success and you make a difference! You'll be part of a team that is serious about business, focused on our customers, and knows how to have fun too! Because we care about the whole you, we offer GROW, our Total Well-Being program, designed to offer convenient opportunities for your personal growth and development. Our comprehensive employee benefits package has been carefully designed to meet your health, financial and retirement wellbeing objectives, including medical, dental, vision, a 401k with a company match, additional add-on insurance plans, paid time off, and additional amenities based on the office you work out of.
Outlook Amusements Inc. is an Equal Opportunity Employer. It does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable state or federal civil rights laws.
Aug 05, 2019
Full-time
Who we are:
Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry. We are a family of brands focused on developing technology and building connections that enable peace of mind. Our Mission is to be a positive force in people’s lives, and we live it every day. For the past 20 years, we have connected top-ranked, premier, personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. This role is based out of headquarters in Burbank, CA.
What we are looking for:
The Digital Marketing Analyst will be a highly valued member of the Revenue & Analytics team. This role will be the subject matter expert in marketing analytics, especially with using Google Analytics. This role will analyze site behavior and customer conversion funnels KPI’s using various analytics tools to recommend changes and improve performance for the company. This role requires thought leadership and deep analytical horsepower that will drive the innovation and processes that will convert raw data into valuable business insights and strategies.
This is a fantastic opportunity to apply an analytics background in helping to guide our company to smart long- term decisions. To be successful in this role and to grow within the company, the ideal candidate for this position should be a passionate, driven, results-oriented individual. As this is a high visibility and high impact position, you will have regular exposure to top management.
Some of which you will be accountable for:
Manage Google Analytics implementation, including segments, funnels, custom reports, custom dimension, experiments, attribution models and ad hoc reporting.
Use data and analytics to optimize marketing throughout the organization for multiple marketing channels/campaigns and across multiple brands/marketing platforms (web, mobile, apps, call tracking).
Provide dynamic analysis and outline opportunities to profitably grow sales, spend marketing budgets more efficiently, and track progress towards key marketing strategy and tactical goals.
Work directly with marketing and business leaders to identify and understand business challenges, develop performance baselines and design strategies for measurably improving new campaigns/creative/flows/funnels against baselines.
Analyze customer/prospect behaviors and KPI’s using analytics tools and make recommendations.
Improve campaign performance by implementing A/B testing from end-to-end, including, ideation and design, monitoring and reporting of results.
Help manage the tagging infrastructure, which includes source data generation (campaign tagging, page tagging, event tagging) and data capture/filtering (Default Channel Groupings in Google Analytics).
Help onboard new marketing partners which often includes setting up campaign tracking, reporting and sometimes Base/Conversions pixels in Google Tag Manager (GTM).
We are looking for you if…
You’re passionate about all things marketing and analytics. Good vibes, good energy is a must. Our ideal candidate has at least 3 years’ experience in an analytical role with a strong background in data analysis and quantitative thinking, along with a strong ability to interpret results and provide insights. You have experience with designing and setting up A/B test with Optimize, Optimizely, or VWO and campaign/website tagging – experience with Google Analytics 360, Google Tag Manager, Google Optimize, Data Studio, DoubleClick, and any Call Tracking system a big plus.
Other qualities that would make you successful in this role:
2+ years of dedicated experience with technical marketing
1+ years of managing Google Analytics for a company.
Advanced experience in Microsoft Excel.
Able to provide detailed and accurate reporting.
Detail orientated and self-motivated with a proven ability to successfully manage multiple projects simultaneously.
Experience using data visualization tools
Detail-oriented, self-motivated, and an excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment
Should be highly analytical and driven by finding key insights from complex data sets
Proven ability to execute and promote continuous improvement and to immediately add value to the team
Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
Bonus Points if you have the following…
Bachelor’s in Engineering, Business/Marketing, Finance, Computer Science, or other technical or quantitative field strongly preferred.
Google Analytics Certification.
Exposure to mobile app analytics.
Excellent planning and organizational skills
Solid business acumen and understanding of marketing strategies
Ability to develop cross-department cooperation and understanding of optimal solutions proven out by analytic rigor
Use advanced data visualization techniques to communicate solutions to business stakeholders
What you get:
Outlook Amusements has a dynamic, close-knit culture of teamwork and innovation. We know that your success is our success and you make a difference! You'll be part of a team that is serious about business, focused on our customers, and knows how to have fun too! Because we care about the whole you, we offer GROW, our Total Well-Being program, designed to offer convenient opportunities for your personal growth and development. Our comprehensive employee benefits package has been carefully designed to meet your health, financial and retirement wellbeing objectives, including medical, dental, vision, a 401k with a company match, additional add-on insurance plans, paid time off, and additional amenities based on the office you work out of.
Outlook Amusements Inc. is an Equal Opportunity Employer. It does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable state or federal civil rights laws.
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Jul 19, 2019
Full-time
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Aug 11, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Responsibilities :
Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions.
Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically.
Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content.
Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Basic Qualifications :
6+ years of analytical experience.
4+ years work experience using SQL
3+ years Python/R or other statistical programming language
Experience with advanced data modeling and predictive analytics
Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication skills, as well as written and verbal presentation skills.
Advanced degree in an analytical field or equivalent experience
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred)
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Working within the Marketing/Advertising vertical
Machine learning experience
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Aug 04, 2019
Full-time
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred)
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications:
Working within the Marketing/Advertising vertical
Machine learning experience
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
Responsibilities :
Architect and lead the implementation of distributed systems solutions to data engineering problems.
Partner with management in hiring and team building
Analyze business needs, and design and build high-quality solutions
Balance resources, requirements, and complexity
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Basic Qualifications :
We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate:
An educational background that has facilitated your technology career--surprise us!
10+ years of professional software experience
Passion for building high-quality software and systems that deliver business value
Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
You should have some mastery of:
Spark, Hive, Databricks, and other big data technologies
SQL and related tools
Docker and Kubernetes
The AWS environment and toolset
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Distributed systems and API design
Testing practices (unit, integration, performance)
Revision control with git
Preferred Qualifications:
It would be great if you knew anything about:
Kafka and other streaming technologies
Dependency and build tools for continuous integration and deployment
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, Snowflake, and other data warehouse solutions
Tableau, MicroStrategy, d3, and other data visualization tools
It would be cool if you have experience with or interest in:
Data science, statistics, machine learning and other applied mathematics
Data lake implementation and support
GraphQL
DynamoDB or RDS
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios.
This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wants to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities:
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications:
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education:
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 29, 2019
Full-time
Who We Are:
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world.
What You Will Be Creating:
You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios.
This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools.
What’s Your Story?
We are looking for self-starting, experienced engineers who wants to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly.
Responsibilities:
Analyze business problems, architect, design and build high-quality software solutions
Collaborate with customer representatives, product and project management teams
Evangelize technologies, solutions, and best practices
Contribute new ideas to a larger community of high-caliber professionals
Balance resources, requirements, and complexity
Basic Qualifications:
Passion & proven experience in engineering high-quality software and systems that deliver business value
Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis
Fluency with the fundamentals of algorithms and data structures
Sound technical decision-making
A range of JVM/CLR languages, as well as scripting/systems languages like Python
Testing practices (unit, integration, performance and load testing)
Revision control with git
Distributed systems and API design
Kafka, Spark, Hive and other distributed data analysis tools
The AWS environment and toolset
SQL and related data stores
Confluent.io & Kafka
Maven & Pants for dependencies and builds
Jenkins for build & deployment
Docker, OpenShift and Kubernetes for execution management
Elastic Search, Kibana, or other aggregation and search tools
Teradata, Informatica, and other data warehousing solutions
Tableau, MicroStrategy, d3, and other data visualization tools
Preferred Qualifications:
Data science, statistics, machine learning and other applied mathematics
Data lake and data warehouse implementation and support
Kylo, Cloudera, or other data lake management systems
Required Education:
BS in computer science, mathematics, or engineering with 8-10+ years of software experience
