The Walt Disney Company

The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information. Using our portfolio of brands to differentiate our content, services and consumer products, we seek to develop the most creative, innovative and profitable entertainment experiences and related products in the world.

The Walt Disney Company Glendale, CA, USA
Jul 19, 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
The Walt Disney Company Glendale, CA, USA
Jul 18, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Data Scientist to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role the Data Scientist will leverage multiple statistical and machine learning methodologies to influence decisions and action planning, with focus on media mix modeling, LTV, and model development for segmentation and targeting customers. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA. Responsibilities : Reframe business objectives and questions as statistical and analytics tasks that can deliver actionable insights, create accurate predictions, and drive effective optimization Process, cleanse, validate and integrate data from different sources for reporting, analyses, model building and data visualization Build predictive models and algorithms to effectively measure and optimize business performance, including media mix and LTV models, and models for customer segmentation and targeting, including churn and propensity models Collaborate with data engineers to build data pipelines that drive downstream workflow Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are interacting with shopDisney.com, Disney Stores, and retail subscription businesses Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders Monitor trends in data science and alternative sources to ensure the use of best in class tools and techniques Basic Qualifications : Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering 4+ years of professional data science/analytical experience 4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL, etc. Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multi-variate regression analysis, machine learning, forecasting, Bayesian estimation) Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly) Ability to think strategically, including interpreting market and consumer information Strong communication skills Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats Demonstrated ability to present data science results and actionable recommendations to business and technical clients Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Preferred Qualifications : Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics Experience in media mix modeling, lifetime value analysis, and segmentation strongly preferred Experience in consumer products, retail, publishing, or digital products strongly preferred Prior knowledge of internal Disney data and databases Experience creating and delivering analytic widgets, such as R-Shiny apps Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus Required Education : Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, computer science, engineering Preferred Education : Master’s or PhD degree in data science, applied mathematics, computer science, engineering, statistics, business analytics, or economics  
The Walt Disney Company Glendale, CA, USA
Jul 17, 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 wans 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  
The Walt Disney Company New York, NY, USA
Jul 05, 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 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 Experience with Data Management Platforms (BlueKai preferred) and Liveramp Machine learning experience Experience with distributed databases and query languages like Spark and Scala Required Education : Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)  
The Walt Disney Company Glendale, CA, USA
Jul 05, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA. Responsibilities : The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following: Identify new and robust sources of media data and plan technical solutions for onboarding Data acquisition – work with Technology partners to onboard new sources Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis Automate data acquisition and storage, provide ongoing database support Recommend data management solutions Document all data processes Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate Create database views and BI interfaces that enhance UX for anyone analyzing data Dashboard development and data visualization Provide data support for regularly scheduled meetings, presentations, and ad hoc requests Find marketing opportunities and mitigate risks by mining data and conducting data analyses Report any key issues or learnings to senior leadership Become marketing data SME to develop an expertise and evangelize those data sets Basic Qualifications : 4+ years of experience in business intelligence and/or data engineering roles Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields. Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery) Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel) Comfortable learning and using new programming or markup languages and tools Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy) Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture) Proven analytical capabilities and data mining skills Strong attentiveness to detail Proven team player and strong partnering skills Demonstrated proactive problem-solving and decision making skills Demonstrated ability to deliver work on time Demonstrated verbal and written communication skills Ability to excel in a fast-paced, complex, and ambiguous business environment Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Preferred Qualifications : 7+ years data & analytics experience Experience in consumer products, retail, publishing, or digital products strongly preferred Prior knowledge of internal Disney data and databases Prior experience with DMP and adtech/martech platforms Project management experience Required Education : Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields Preferred Education : Advanced degree in an analytics field or MBA
The Walt Disney Company New York, NY, USA
Jul 05, 2019
Full-time
We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data. Responsibilities : Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior. Partner with cross-functional colleagues to identify and report on short-term and long-term performance. Implementing self-service tools used to access disparate data sources (both legacy and cloud-based). Train and support colleagues in the use of self-service data exploration and visualization tools. Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies. Perform ad hoc analysis as necessary. Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business. Basic Qualifications : 2+ years of relevant experience. 1+ years work experience implementing and reporting on business key performance indicators. 1+ years work experience using SQL is required. Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift. Additional programming languages (e.g. Python, R) preferred. Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Degree in an analytical field such as economics, mathematics, or computer science is desired. Comfortable working in a fast-paced and highly collaborative environment.
The Walt Disney Company Glendale, CA, USA
Jul 04, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential. Responsibilities : Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders. Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within. Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision. Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives. Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization. Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value. Define, track and improve key metrics and success criteria for major data services initiatives. Basic Qualifications : 15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications 5+ years of data domain technology experience Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions 5+ years of working in an agile environment Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly Self-starter, comfortable leading change and getting things done. Preferred Qualifications: Experience with data analytics or business intelligence platforms preferred Required Education : Bachelor’s degree, with equivalent work experience  
The Walt Disney Company Celebration, FL, USA
Jul 04, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports. Responsibilities : The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Basic Qualifications : The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Data Delivery / Distribution Develop efficient queries and tables for ongoing and adhoc analysis Convey and highlight recommendations to tell the story with data Ensure partners understand the data, table, processes The Omni-Channel Analyst’s preferred qualifications include: 3+ years of relational database experience 3+ years of analytical experience Ability to apply statistical rigor to analyses Knowledge of “big data” environments and tools Experience with digital and contact center data and analytics Experience with hostility data and analytics Experience with data warehouse platforms such as My SQL, SQL Server, Teradata Required Education : Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
The Walt Disney Company Burbank, CA, USA
Jul 04, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) 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. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms. Responsibilities : Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics. Partner with the Vice President, Data Platforms Product Management and Vice President, Data Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives. Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives. Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills. Specific Responsibilities : Define the data quality strategy and liaise to ensure proper implementation Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures Define and implement detailed standards, aligned to support all underlying data systems Ensure compliance with regulatory requirements related to user data. Document the security and privacy requirements for different categories of TWDC and DTCI data Basic Qualifications : Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred Excellent communication skills (oral and written) and organizational skills Able to communicate at multiple levels ranging from front-line personnel to C-level executives Demonstrates deep understanding of database related audit and compliance goals and processes Must possess the proven ability to assess information security, policies and procedures and operational risk Background in data and information management projects, operating in a highly complex and regulated environment Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures Define and implement detailed standards, aligned to support all underlying data systems Ensure compliance with regulatory requirements related to user data Document the security and privacy requirements for different categories of TWDC and DTCI data Required Education : Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.  
The Walt Disney Company Celebration, FL, USA
Jun 28, 2019
Full-time
This hourly role is responsible for reviewing qualitative Guest data collected through in-person and Internet surveys. To streamline the data insight process, Coding Specialists will be using text analytics solutions to build queries that categorize the data automatically, or manual categorization methods. This work is done to give the voice of the Guest a quantitative value for further analysis. Reporting to the Coding Manager, each Specialist is responsible for building queries for multiple projects and types of data, with specific deadlines and deliverables. Responsibilities : Build taxonomies using Boolean operators and regular expressions in the SAS Contextual Analysis or SAS Visual Text Analytics environment Use contextual extraction and document classification approaches to categorize data for automated text analytics solutions Partner with CI Analysts to deliver insights and advise on survey programming structure and questions Use SAS Enterprise Guide environment for extraction, transformation, and loading data (ETL) Analyze and build queries across multiple types of data including survey verbatims, social media posts, Guest correspondence, etc. Ensure data quality through sampling methodologies, and perform regular maintenance on existing queries as needed Basic Qualifications : Demonstrated experience with Boolean, regular expressions, database querying, or text analytics software Demonstrated understanding of data science, including data collection and preparation, sampling, modeling, model deployment and model assessment. Strong grasp of English grammar, syntax, and phraseology, with the ability to construct linguistic taxonomies Candidates should have intellectual curiosity and the ability to effectively manage multiple projects Candidates should be self-motivated with the ability to work independently in a fast-paced, complex business environment Computer proficiency in a Windows environment Demonstrated problem solving, written, and verbal communication skills Demonstrated organizational skills with attention to detail Preferred Qualifications : Demonstrated experience with computer programming, SAS preferred Demonstrated experience using Confirmit or similar survey software Demonstrated experience with SPSS and Tableau Demonstrated experience with SAS Visual Analytics Demonstrated experience with SQL Demonstrated experience with social listening/analysis tools Demonstrated multilingual capabilities with the ability to fluently write in various languages, ideally Spanish, Portuguese, and/or French Required Education : Bachelor’s Degree or equivalent experience Preferred Education : Bachelor’s Degree in computer science, computer engineering or other related analytics field  
The Walt Disney Company Lake Buena Vista, FL, USA
Jun 27, 2019
Full-time
The Workforce Management - Strategy & Analytics Manager works with a variety of stakeholders across WDW and within the Workforce Management organization to evaluate and deliver against Workforce Management’s top strategic priorities. Successful candidates will be strategic and analytical thinkers with business knowledge who demonstrate a passion for understanding and tackling new Operations labor frontiers. This role combines technical, analytical and statistical skills and expertise with project management support and leadership to achieve strategic business objectives. The types of analytics required includes forecasting, optimization, regressions, and end-to-end impact calculations supporting strategic projects, ad hoc requests, what-if analyses, and methodology redesigns. Responsibilities : Effectively manages and leads large-scale WFM projects with cross-functional teams Provides quick and reasonable approach and effort estimates during project planning Conducts accurate analyses to assess business needs and impacts to frame business cases for assigned projects Perform exploratory data analysis to gain insights into WDW Operations and identify opportunities Outlines and clearly explains approach and methodology Uses results of analysis to clearly lay out appropriate options and recommendations for decision making Performs analyses to assess proposed analytical methodologies and strategic approaches Solid understanding of the principles of workforce management operations and analytics Supports teammates by sharing subject matter expertise and collaborating on analytics approach, design, and/or calculations Demonstrated passion and commitment to diversity and inclusion including inviting diverse perspectives, fostering an inclusive work environment and supporting workforce diversity Basic Qualifications : Demonstrated strong analytical, quantitative, and problem-solving skills Demonstrated knowledge of mathematical and statistical methods, optimization, simulation, forecasting, and analytics with real-world applications High level of proficiency in Microsoft Excel and data manipulation and analysis tools Demonstrated exemplary verbal and written communication skills inclusive of email, project documentation, and executive-level presentations Ability to tell the story using data, and simplify complex analytics into recommendations that are easily understood for decision-making Ability to work independently with minimal direction and knows when to seek out information or elevate issues to leadership Ability to adapt to a rapidly changing business environment and effectively manage multiple priorities and deliver against tight deadlines Proven partnering and relationship-building skills, working collaboratively with other teams throughout the WDW organization to achieve desired outcomes Strong project planning, organization, and time management skills Impeccable attention to detail Positive change agent Ability to handle confidential information Resolves conflicts effectively Preferred Qualifications : Prior Workforce Management experience Expertise in Python, R, Tableau Required Education : Bachelor’s degree in Mathematics, Industrial Engineering, Operations Research, Simulation, or related field Preferred Education : Advanced degree in related field  
The Walt Disney Company Glendale, CA, USA
Jun 27, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and 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: 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 content on the platform. When content engagement 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 : 5+ years of analytical experience. 3+ years work experience using SQL and Python/R or other statistical programming language. 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.
The Walt Disney Company Glendale, CA, USA
Jun 27, 2019
Full-time
Data Analysts in the Disney+ Content Analytics team are the experimentation and analytics partner for the Disney+ studio content team. They focus on driving content engagement on Disney+ through measurement, analysis, and 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: 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 content on the platform. When content engagement 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 and Python/R or other statistical programming language. 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.  
The Walt Disney Company Glendale, CA, USA
Jun 27, 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