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 Burbank, CA, USA
May 22, 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 and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Responsibilities: The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to: Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics. Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services. Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls. Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers). If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate). Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data. Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed. Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements. Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic. In collaboration with leadership, identify opportunities for automation and execute technical requirements. Basic Qualifications: Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated. Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments 3 + year experience managing data analysts, BI developers, and/or data scientists. Intermediate level SQL expertise, experience writing SQL queries against large data sets. Demonstrated experience with databases, business intelligence tools, reporting, analytical environments Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions. Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing. Expertise in understanding business needs and working with non-technical and non-customer data centric marketers Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives. Required Education: 4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods. Preferred Education: Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.  
The Walt Disney Company Bristol, CT, USA
May 18, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Staff Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables real time collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Job Summary: Build cool things – Build software across our entire cutting-edge data platform, including near real-time data collection, processing, storage, and serving real-time analytics and other real-time use cases such as recommender systems & segmentation. Lead and coach – Mentor other sr. engineers by developing re-usable frameworks. Review design and code produced by other engineers working across the organization Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale – Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. ML First – Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications: Not your first rodeo – Have 10+ years of experience developing with a mix of languages (Java, Scala etc.) and open source frameworks to implement data collection, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation. Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Prior experience in building real-time data collection infrastructure including client SDKs will be a huge plus. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education: Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience. Preferred Education: Masters in Computer Science or similar is preferred.  
The Walt Disney Company Bristol, CT, USA
May 18, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Job Summary Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability. Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers. ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications: Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education: Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience Preferred Education: Masters in Computer Science or similar is preferred  
The Walt Disney Company Lake Buena Vista, FL, USA
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
The Walt Disney Company Seattle, WA, USA
May 18, 2019
Full-time
Disney Technology and International (DTCI) is a newly created segment of the Walt Disney Company that is building out an Enterprise Consumer Data Platform, eCDP, which will be leveraged across the company to better understand our consumers’ activity across the various segments and provide a more personalized marketing experience. The Consumer Identity and Data Platforms (CIDP) department has a Data Governance organization of which Data Quality is a critical and highly visible function. The Disney Technology and International (DTCI) segment of the Walt Disney Company is seeking a Senior-Level Data Quality Analyst to support the Data Quality Management function of Data Governance across the Customer Identity and Data Platforms (CIDP) organization. This role requires a background in data management and data quality in a data warehousing, business intelligence, and/or analytics environment. This is a business-facing role, which requires a significant level of interaction with both technical and business stakeholders at multiple levels, as well as several IT constituents and data owners. Responsibilities: Participate in Data Governance program activities and processes to include Data Quality Management (primary), Data Stewardship (supporting), and Metadata Management (supporting). Perform on-going data profiling and data quality activities to include deep dive analysis on large datasets and complex data flows across multiple enterprise applications to include the Enterprise Permissions Center (EPC), Enterprise Data Platform (EDP), legacy Athena (Online registrations and login data), and the Enterprise Consumer Data Platform (eCDP). Define data quality requirements; evaluate and identify where system enhancements are required to address data quality issues; e.g., code fixes, source system changes, etc. Define business rules and exception handling processes as needed. Design reports on Data Quality for all levels of audiences and stakeholders. Drive data quality issue resolution and collaboration with data providers, data stewards, and recipients to include: DQ improvement plans, communications, and tasks required for CIDP DQ initiatives. Support automation opportunities for Data Quality improvement processes. Provide a high level of data quality awareness across multiple staff profiles engineering managers, product managers, product owners, and engineers. Basic Qualifications: B.S. MIS, Computer Science, or other related field. 5-7 years of experience in Data Quality Management projects Understanding of Data Management Principles and Data Quality Improvement Solid understanding of Data Warehousing architecture Experience in the following: Defining Data Quality assessments, remediation, and continuous improvement plans Solid understanding of Data Warehouse architecture principles Root cause analysis Data Story Telling Advanced knowledge of SQL Strong communication skills (written and oral) to all staff levels and possess ability to deliver information tactfully. Ability to work with internal teams and external vendor teams Detail-oriented and able to multitask according to project priorities and with complex requirements and aggressive timelines. Preferred Qualifications: Data Quality certification IQCP, CIMP Experience with Data Quality Products such as Informatica IDQ. Tableau Reporting Experience with complex process analysis and technical implementations of data solutions Knowledge of agile SDLC methodologies Possesses understanding of customer behavior analysis and customer data integration Experience with Metadata tools; e.g., Collibra, Informatica Axon/EDC. Knowledge of Big Data architecture
The Walt Disney Company Lake Buena Vista, FL, USA
May 15, 2019
Full-time
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a management role leading team members (cast and contractor) working on multiple initiatives within the Forecast Analytics (FA) portfolio of projects, supporting multiple park locations. Responsibilities: This position will be responsible for planning, resource/task assignments, work effort tracking, partnering with MSI, Decision Science and Technology team members, design/code reviews, executive reporting and representing the DI team at project meetings. This role will lead a team responsible for various activities around data validation, data aggregation for Science Models, periodic data batch processing, and ad-hoc activities required by the projects. This DI development and sustainment team primarily leverages SQL, Python, Spark, PySpark, SparkSQL, and Hadoop/Hive in their work efforts. Basic Qualifications: 5+ years’ experience leading development teams – task planning, level of effort definition, resource assignments and task management 3+ years’ experience and proficiency in SQL (on a variety of database platforms) Experience and proficiency with data visualization tools (e.g. Tableau) Solid understanding of Python, Spark, and Hadoop/Hive Solid understanding of AWS Solid understanding ETL and ELT tools and processes Strong analytical skills in data analysis Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience Experience and proficiency in requirements elicitation and documentation for data processing Experience and proficiency in developing data validation test scenarios and scripts Proficiency acquiring, organizing, cleansing and manipulating large amounts of data Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities Knowledge of software design lifecycle data Preferred Qualifications: Hands-on development experience with Python, Hadoop/Hive, and Spark Hands-on experience leveraging PySpark, SparkSQL for data processing Experience with project management tools, including Smartsheet and Version 1 Hands-on experience interacting with Technology teams to promote code across multiple environments Experience with Github/Gitlab for code versioning and promotion Experience with Docker for software deployment Required Education: Bachelor or Master’s degree with specialization in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field  
The Walt Disney Company Lake Buena Vista, FL, USA
May 15, 2019
Full-time
The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a Sr. Integration Consultant role experienced in Spark/PySpark, SQL, database design, ETL/ELT implementations, and nightly batch processing in support of multiple initiatives within the Forecast Analytics (FA) portfolio of projects. Responsibilities: This position will report directly to the DI team’s Managing Consultant for the FA portfolio, and work closely with our Management Science & Integration, Decision Science, and Technology teams in the development and sustainment of solutions for our client(s). This individual will perform activities such as data requirements elicitation and documentation, data validation scripting and review, dataset design and implementation, ETL/ELT data processing from client and/or 3rd party data sources, building and monitoring daily batch update processes, and ad-hoc activities as required by the projects. Basic Qualifications: 4+ years of overall technology experience 3+ years of experience and proficiency in SQL (on a variety of database platforms) 2+ years of expertise developing with Spark and/or PySpark 2+ years of expertise designing and implementing database schemas Experience and proficiency in developing ETL/ELT automated data transformation processes Experience with Github for code versioning and promotion Hands-on experience deploying code and database schemas across multiple environments (Dev, QA, UAT, Prod, etc.) Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience Experience and proficiency in requirements elicitation and documentation for data processing Experience and proficiency in developing automated data validation test scenarios and scripts Proficiency acquiring, organizing, cleansing and manipulating large amounts of data Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities Preferred Qualifications: Database Administration (DBA) development experience Experience with Zeppelin and/or Jupyter Experience with project management tools, including Smartsheet and Version 1 Solid understanding of AWS Experience with Docker for software deployment Experience and proficiency with data visualization tools (e.g. Tableau) Required Education: Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field Preferred Education: Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field  
The Walt Disney Company Anaheim, CA, USA
May 15, 2019
Full-time
“We make magic.” That’s our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen! Consumer Insights, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization within Disney Parks, Experiences and Products that drives consumer centric decision-making through a deep understanding of the marketplace, consumers and our guests. In a rapidly changing consumer and market environment, with ever increasing touch points and data, the emphasis is on cutting through the noise to provide actionable insight – clear, objective, strategic, holistic, timely, and relevant. The optimal candidate will be a solutions-oriented, optimistic leader with proven success using research and business performance analytics to positively influence decisions. In this position, you will lead a team responsible for providing breakthrough insights and thought leadership that drives business strategies, identifies opportunities, and mitigates risk for both Disneyland Park and Disney California Adventure. Responsibilities: Manage all phases of the market research process including needs identification, project design, survey design, coordinating with internal field team and external vendors where appropriate, analysis, and presentation of results. Lead and professionally develop a team of senior analysts Lead translation of insight into actionable, business-driving strategies through critical interpretation of data and strategic thinking Create succinct communications that frame decisions for senior leadership Foster relationships with external and internal partners, building influence Identify and implement innovative data solutions to uncover new insights Basic Qualifications: Minimum three to five years relevant experience in a related field Critical thinker, able to sort through complex business issues to develop research plans Able to think out of the box and willing to try different research approaches Able to conceptualize and build an analytic plan, design questionnaires, and analyze qualitative and quantitative data Demonstrated partnering skills Project management experience and ability to handle multiple projects simultaneously Demonstrated experience in quantitative, qualitative research and statistical/analytical techniques Demonstrated analytical and critical thinking skills Flexible and nimble - can adapt to changing priorities Strong attention to detail within context to the business goals Ability to translate data into a clear, compelling business recommendation Preferred Qualifications: Knowledge and use of statistical software such as SPSS/SAS Required Education: Bachelor’s degree or equivalent  
The Walt Disney Company Glendale, CA, USA
May 12, 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 Sr. 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, Digital Analytics and does not have direct reports. Responsibilities: Collaborate with business, technology and analytics partners to determine needs and establish data collection requirements. Work with implementation specialists to deploy and maintain accurate website tracking. Develop and maintain reports on web channel performance. Design effective and impactful reports and visualizations for business and technical audiences. Generate insight from site data and communicate opportunities or issues. 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. Utilize business and analytical expertise to independently perform proactive analysis and solve business problems. Define and execute quality assurance procedures to ensure accuracy of analytical output. Create presentations to highlight analysis and tell the story. Basic Qualifications: 5+ years web analytics experience. Advanced knowledge of Adobe SiteCatalyst/Analytics products. Experience defining website analytics tracking requirements. Demonstrated experience partnering with technical resources to implement mobile app analytics tracking Familiarity with Adobe Mobile SDK 4.x Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging analytics Ability to derive actionable insights from data and effectively guide decision-making. Strong understanding of segmentation and targeting. Ability to excel in a fast-paced, cross-functional environment. Excellent written and verbal communication skills. Proactive problem-solving and critical thinking skills. Ability to manage time effectively and consistently meet deadlines. Ability to distill analysis into concise recommendations and present to management audiences up to an executive level. Proficient in Microsoft Office suite. Proficient with business intelligence tools. Preferred Qualifications: 7+ years web analytics experience. Travel industry and ecommerce experience. Experience with A/B testing and website optimization. Knowledge of statistical testing methodologies. Experience with predictive analytics and digital experience personalization. Proficient in 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.
The Walt Disney Company Bristol, CT, USA
May 10, 2019
Full-time
Disney’s Direct-To-Consumer and International (DTCI) group has the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to lead in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation, and Analytics. We are looking for an experienced Software Engineer who can develop scalable SDKs and apps for iOS , Android Mobile, and other OTT platforms. You must be self-driven to continuously learn, evaluate new technologies, innovate, and deliver solutions for business-critical applications with little to no oversight from the management team. Responsibilities: Build software across the real-time data collection platform for the Apple, Google, Amazon and related product platforms for mobile and OTT. Design and develop SDKs with minimal footprint in terms of resource utilization yet produce excellent performance and reliability in collecting consumer engagement data from each devices. You will be helping data collection from apps used by 100MM+ users. Help define and enforce development, design standards, and best practices for other developers. Think of new ways to improve scalability, resilience and reliability to the platform and be able to document and communicate these ideas across our team to put your ideas into action. Embrace the DevOps mentality to build, deploy and support applications with minimal help from other teams. Work with various mobile and OTT product team to integrate real-time collection SDKs we maintain, demo new features, provide sample code and provide review feedback to improve performance and reliability. Quickly troubleshoot production issues reports by product teams, roll out fixes. Work with various mobile/OTT team to peer review code and improve quality. Basic Qualifications: Have 6+ years of experience developing with a mix of languages (Swift, Objective-C, Java) to be used for mobile and OTT platforms. Experience using Xcode and Android Studio IDEs for development. Hands on experience architecting software to be integrated with Mobile and OTT product platforms. Awareness of Java Script based Web SDK development. Strong understanding of OO design patterns and concepts, and unit testing code to a high level of code coverage. Strong understanding of hardware / software requirements and restrictions. A sound understanding of HTTP and REST-style web services. Must demonstrate solid organization / communication skills. A good amount of time will spent on helping all the product team to integrate our SDK to products. Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passionate about technology, data, & creative innovation Preferred Qualifications: Previous experience in working with Java Script based Web SDK will be a huge plus. Previous experience in building Web and Mobile SDK for data collection or similar use cases will be a huge plus Required Education: Bachelor’s degree in Computer Science or a related technical field or equivalent job experience.
The Walt Disney Company New York, NY, USA
May 10, 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 Data Strategy Product Manager, Data Platforms role will focus on consumer identity and activation product offerings servicing a diverse group of stakeholders across TWDC including ad sales, marketing, analytics, among others. You provide the data strategy for consumer identity partnering with technical product management responsible for building the products to stakeholder requirements. You represent the voice of the industry and are responsible for driving the product strategy through execution. 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 a product lifecycle. Additionally, you bring industry knowledge and perspective to the table to steer identity and activation strategies for the Data Platforms team. Responsibilities: Lead DTCI Data Platforms overarching User Data collection & activation strategy and drive adoption through TWDC Consult on data collection & deployment in 3p partners & vendors (i.e. (D)MVPDs, Affiliate Sites, Adserving tech) 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. Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution, and sign off from legal/ privacy in order to achieve 100% coverage for UNID on TWDC properties across devices Prioritize product epics based on strategy & business value, based on input from business, legal, privacy & development Basic Qualifications: Must have minimum 3 years previous experience in product management, consumer identity, data, technology, digital marketing and/or consulting in a related field. Must have experience data products such as Data Management Platforms, Idenity Graphs, or Data Matching Partners. (e.g.: LiveRamp, Tapad, Drawbridge, BlueKai, Adobe, Experian, etc.) 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 Preferred Qualifications: Previous experience managing registered and anonymous user states/ cross-device strategies with a large publisher or technology platform Required Education: BA / BS required preferably with focus in communication, advertising, business, computer science and/or engineering Preferred Education: MBA preferred  
The Walt Disney Company Bristol, CT, USA
May 09, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. ​ The Technical Manager and his team will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities: Hire and mentor Data Analysts in the team to build consumer data analytics solution across DTCI Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products. Selecting methods for performing advanced data analysis. Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python. Document logic in order to help engineering team to implement them. Build statistical models using tools specified above. Clearly communicate design & development strategies to all stake holders, educate them as and when needed. Establishes, supports and maintains standards of the analytics and data analytics process. Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company. Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed. Performing ad hoc analysis, interpreting and communicating results in a clear manner Processing, cleansing and verifying the integrity of data used for analysis Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups. Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team. Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development. Basic Qualifications: First-hand experience – Have 8+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge. Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations. Visionary - Solid understanding of big data and how an organization will be able build data driven products. Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar. Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users. Problem solver – Enjoy solving complex business problem using deep data analysis. Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Minimum 2 years of management experience Expert knowledge of a common big data tools such as SQL, Hive, Hadoop Expert level knowledge in at least one programming language such as python, R, Scala, Java. Experience in working with large datasets (Terabytes or more) Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Preferred Qualifications: Experience with machine learning models. Data and analytics/measurement experience in digital or mobile app environment preferred. Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus. Required Education: Bachelor’s degree in Computer Science or Business Administration or similar is required. Preferred Education: Master’s degree in Computer Science or Business Administration or similar is preferred.
The Walt Disney Company Bristol, CT, USA
May 09, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales, and Analytics. The Big Data Analyst will work within the Data Platform and will be charged with delivering actionable data insights from Disney’s large and diverse set of first and third party data sources. This data will come from every aspect of the user journey and product experience - user on-boarding, registration, personalization, ad-sales. Data models will be both implicit and explicit. The primary objective will be to apply modern big data techniques to discover patterns in user behavior that can be leveraged to drive three main metrics – user frequency, user engagement and revenue yield. Further, you will be tasked with building models to segment and cluster consumers based on vast amount of digital and broadcast content – marrying these models with user behavior patterning to deliver personalized, unique experiences to each Disney consumers. You will work closely with Product Managers, Designers, Audience Development and Content Development to identify areas of opportunity. You’ll work with the entirety of DTCI to build infrastructure and systems that support scalable self-serve analytical platform across the enterprise. You’ll evangelize the work product of the data function within the company – both upward to executive management and across the organization to peer and constituent groups. You’ll be an excellent communicator, communicating insight, progress and plans to all levels of the company. You will be responsible for creating and approving artifacts designed to document models, requirements, and results. You’ll bring your knowledge of standard data analytic methods including, but not limited to statistical modelling and SQL based analysis, and more extensive analysis using Spark, R and Python or similar tools. Furthermore, you will be skilled subject matter expert in defining customer engagement metrics, revenue yield, life time value (LTV) across the enterprise. Responsibilities: Stake holder interviews to build self-serve analytical framework – requirements may include consumer engagement as well as digital ad engagements across all products. Selecting methods for performing advanced data analysis. Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python. Document logic in order to help engineering team to implement them. Build statistical models using tools specified above. Clearly communicate design & development strategies to all stake holders, educate them as and when needed. Establishes, supports and maintains standards of the analytics and data analytics process. Work with engineering team to build infrastructure designed to facilitate the construction of models and the exposure of those models to end users throughout the company. Work with engineering team to automate daily monitoring of models in production, help troubleshoot issues and make necessary improvements as needed. Performing ad hoc analysis, interpreting and communicating results in a clear manner Processing, cleansing and verifying the integrity of data used for analysis Evangelize the work product of the data science function within the company - both upward to executive management and across to peers and constituent groups. Coordinate and execute experiments and create frameworks to support those experiments designed to inform both the strategic and tactical initiatives of the Product team. Assist in the preparation of presentations and formal analysis in support of executive decision making and strategy development. Basic Qualifications: First-hand experience – Have 6+ years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge. Data ninja – Must be hands-on on data analysis tools and frameworks such as SQL, Hive, Spark QL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations. Visionary - Solid understanding of big data and how an organization will be able build data driven products. Have a data toolbox – Familiar with technologies relevant to the data such as Hadoop, OLAP databases and visualization tools such as Tableau or Looker or similar. Hunger to Learn & Teach – Genuine interest to do conduct data mining and share the finding with internal team as well as business users. Problem solver – Enjoy solving complex business problem using deep data analysis. Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Expert knowledge of a common big data tools such as SQL, Hive, Hadoop Expert level knowledge in at least one programming language such as python, R, Scala, Java. Experience in working with large datasets (Terabytes or more) Ability to operate effectively in a team-oriented and collaborative environment. Excellent communication skills and ability to interact with all levels of end users and technical resources Creative thinking and motivated self-starter Preferred Qualifications: Experience with machine learning models. Data and analytics/measurement experience in digital or mobile app environment preferred. Experience in Digital Ads experience such as Video and Display Ad measurements will be huge plus. Required Education: Bachelor’s degree in Computer Science or related field is preferred. Preferred Education: Master’s degree in Computer Science or related field is preferred.