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 New York, NY, USA
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities : Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications : 3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience
The Walt Disney Company New York, NY, USA
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities : Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Basic Qualifications : 2-3 years of experience developing in object oriented Python Familiar with big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kinesis, Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience with graph-based data workflows using Apache Airflow Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience
The Walt Disney Company Glendale, CA, USA
Aug 17, 2019
Full-time
This individual will be responsible for Programmatic campaign management activities such as campaign set-up, documentation creation and maintenance, QA, performance reporting, and billing reconciliation. They will also be responsible for budget pacing review and recommendation of related campaign adjustments to Programmatic Media Manager. The ideal candidate will have previous online ad experience. Prior self-service experience with DSPs and active campaign management is a huge plus. Responsibilities : Traffic, QA, and monitor Programmatic media campaigns in the DSPs Ensure Programmatic campaigns are created and implemented in DSPs according to best practices and to achieve optimal campaign performance Self-service campaign management within DSPs toward KPIs Support Programmatic Campaign Manager on campaign management including budget changes, pacing and performance optimization, strategy, and reporting Handle daily campaign maintenance, including internal questions regarding tracking and status of various campaigns Assist in the development of partner-facing campaign performance reports Participate in regular knowledge share sessions to learn new strategies for optimization and enhancement Basic Qualifications : 1-3 years of digital display experience Experience in management of digital accounts with a focus on performance In-depth knowledge of self-service programmatic buying, DSPs, and the wider digital display landscape Self-service experience using Doubleclick Bid Manager (DBM/DV360), Verizon DSP (Oath/BrightRoll), or other DSP is a huge plus Good knowledge of the fundamentals of Ad Serving and display technologies Ability to think creatively, strategically, and identify and resolve problems Organizational and time management skills Excellent written and verbal communication skills Ability to form strong relationships with clients and internal teams Passion for online advertising technology Familiarity of how web sites and online ads work Proficiency in Microsoft Office solutions especially Excel Analytical thinking and mathematical skills Excellent communication and writing skills Required Education : Four-year college degree or equivalent work experience. Marketing, Mathematics, Statistics, or Finance is a plus (past relevant work experience is prioritized over degree focus)
The Walt Disney Company Lake Buena Vista, FL 32830, USA
Aug 16, 2019
Full-time
The Walt Disney Parks & Resorts Management Science & Integration (MSI) consulting team is responsible for supporting clients across The Walt Disney Company including Parks and Resorts, Media Networks (e.g., ABC, ESPN, etc.), Studio Entertainment (The Walt Disney Studios, Disney Theatrical) and Disney Consumer Products and Interactive Media. MSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. MSI seeks forward-thinking team members who are passionate about delivering quality results and enjoy working closely with key partners on both strategic and tactical challenges. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results-oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities : Your Role: The Senior Integration Consultant will be responsible for ensuring the long-term success of the resort revenue management solution’s adoption at our Hong Kong and Shanghai resorts. While this role supports our Asia sites, the position is located in Orlando. This person will function as a critical consultant with expertise on the IDeaS RMS and as a liaison with our decision science and revenue management experts. A key part of this role includes developing and maintaining a strong, trusting relationship with clients. A solid foundation in hotel revenue management is critical. Internal Consultant – Act as a consultant to support internal clients in implementing revenue management and pricing strategies through technical and analytical solutions that drive business value Data Analyst – Collect, analyze and visualize large data sets to determine patterns, gather insights, and uncover new opportunities Storyteller – Through polished presentations, deliver and effectively communicate key findings and recommendations in a concise, actionable, and efficient manner to stakeholders Business Analyst – Document business processes, determine functional requirements, and turn them into technical specifications Product Manager – Manage client requests and prioritize them Basic Qualifications : What We’re Looking For: Knowledge/Experience Experience managing, implementing or sustaining a hotel revenue management system in a multi-property environment Experience IDeaS RMS Knowledge of statistical methods, forecasting, optimization and modeling Ability to tell a story with data, and simplify complex analytics into recommendations that are easily understood and executable Ability to effectively train others on revenue management concepts, technology, and implementation Experience with advanced data visualization technology (e.g. Tableau, Power BI, or similar), designing and developing interactive reports and dashboards Experience with SQL/Python or equivalent open source technologies to fetch and transform data Potential to lead effectively by creating the trust and influence needed to drive results Teamwork/Communication Ability to meet with partners and clients outside of standard business hours (approx. 10%) Ability to collaborate with and strategically influence a diverse group of clients, partners, vendors, and stakeholders Ability to work autonomously and confidently with minimal oversight Strong written and verbal communication skills Demonstrated problem-solving and decision-making skills Ability to adapt to a rapidly changing business environment and manage multiple priorities Representative of Disney values Preferred Qualifications: How To Stand Out: Experience as a hotel revenue manager for a large property or multiple properties Experience with hotel technologies: Opera PMS, China Online Experience with product management, project management and/or user acceptance testing Experience demonstrating the value of a product after implementation Conversational proficiency in Mandarin and/or Cantonese Required Education : Bachelor’s degree in Statistics, Mathematics, Hotel Administration, Engineering, Economics, Data Analytics, or an equivalent quantitative field Preferred Education : Master's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Business Analytics, Management Science or an equivalent quantitative field
The Walt Disney Company Burbank, CA, USA
Aug 15, 2019
Full-time
Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns. Responsibilities : Design, build and implement Hadoop/Spark batch jobs Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines Design and architect high quality data-lake, data-warehouse, and data-marts data models Enable and implement Data Science workflows and advanced machine learning algorithms Build and optimize performance of ElasticSearch cluster and relevance Build and maintain data pipelines orchestration Develop and cultivate expertise in current and new technologies and tools Collaborate with other software engineers and cross-functional teams Share new ideas with a larger community of highly experienced technologists Ability to prioritize tasks, requirements, and complexity Mentor junior data engineers on best practices Basic Qualifications : Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!) Understanding of distributed systems and distributed computation Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake Unit, Integration, and Load testing Developing REST APIs Git Maven, SBT, and/or Gradle Unix/Linux Docker containers building and deployment Working experience of AWS Excellent communication and collaboration skills Preferred Qualifications: Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc) GraphQL Knowledge Kubernetes knowledge Apache Spark GraphX R GitLab CI/CD Akka Streams Required Education : BS in Computer Science or related field with 7+ years of experience  
The Walt Disney Company Lake Buena Vista, FL, USA
Aug 13, 2019
Full-time
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are: The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise. Responsibilities : Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by: Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques Supporting the analysis and validation of forecasting and optimization models Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications Basic Qualifications : What You Bring to the Role: Strategic problem solving & analytical skills Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR) Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab Strong organizational and time management skills with attention to detail Aptitude and willingness to learn new science, software applications, and tools Experience gathering, analyzing, and interpreting data and reporting on the results Proficiency with Excel, Word and PowerPoint Preferred Qualifications: Familiarity with SQL or Tableau Experience using machine learning algorithms Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.) Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems Proficiency with forecasting methodologies Proficiency with Bayesian statistics Proficiency with discrete event simulation Prior research or industrial experience in revenue management, pricing, and/or supply chain applications Proficiency with neural networks and/or deep learning Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling Required Education : Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field GPA of 3.0 or higher Additional Information : Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020. Required Materials: Resume and transcripts must be uploaded at time of online application. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program . Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
The Walt Disney Company Glendale, CA, USA
Aug 11, 2019
Full-time
Data Scientists in the Disney+ Content Analytics team are the insights and modeling partner for the Disney+ studio content team. They focus on informing content decisions for Disney+ through data modeling, analysis, and actionable insight generation. These analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations. Responsibilities : Modeling, Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this data scientist will be tasked with creating models that ascribe value to content and can inform content development decisions. Experimentation: Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically. Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content. Work with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture. Basic Qualifications : 6+ years of analytical experience. 4+ years work experience using SQL 3+ years Python/R or other statistical programming language Experience with advanced data modeling and predictive analytics Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc. Understanding of statistics concepts (e.g., hypothesis testing, regression analysis). Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills, as well as written and verbal presentation skills. Advanced degree in an analytical field or equivalent experience
The Walt Disney Company Burbank, CA, USA
Aug 10, 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 Data Analyst with HR Data Operations where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. 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 creative solutions. 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 data integration design to implementation of new policy. Responsibilities : Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use. Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions Partner within and across People Insights as well as Enterprise Business Systems to translate functional requirements into data needs for development Partner with data developers to implement and validate data infrastructure enhancements Provide consultative support for HR clients on questions regarding data and relationships along with delivering creative solutions to data related problems. Basic Qualifications : You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are proficient in SQL with a thorough understanding of data and systems' infrastructures You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans 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 can effectively handle and maintain confidential information
The Walt Disney Company Anaheim, CA, USA
Aug 09, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club. The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports. Responsibilities : Lead a team of professionals within focused on web, mobile app and contact center analytics Provide insight from the data and communicate opportunities or issues through holistic storytelling Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis Recommend optimization tactics to improve performance continuously Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance Seek opportunities to improve the report processes, data collection, delivery methods, and value Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context Provide guidance and support to casual users/ consumers of the metrics Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis Basic Qualifications : Bachelor’s Degree or equivalent experience 5+ years web analytics experience Experience in actionable analytics and optimization Ability to derive and present insights from data Advanced knowledge of Adobe SAnalytics products Excellent written and verbal communication skills Advanced experience in communicating with senior managers and executives Experience in strategic marketing and planning Deep understanding of segmentation and targeting Must be able to manage time effectively within a very complex environment Ability to lead and develop team of several people Preferred Qualifications: MBA or equivalent work experience Travel Industry and ecommerce experience Understanding of direct marketing and personalization Experience with business intelligence tools Knowledge of statistical testing methodology Experience in monetizing actions such as insights delivered Conversational ability in Mandarin or French is an asset Required Education : Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
The Walt Disney Company Lake Buena Vista, FL, USA
Aug 09, 2019
Full-time
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions. Responsibilities : Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior Construct complex data sets and measures to be used in analyses that drive business decisions Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products Work collaboratively with team members to develop analytical solutions which support cross-functional needs Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies Synthesize analytical output and findings for storytelling and decision making You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways You have proven experience dealing in labor economics or behavioral analytics You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies 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 are proactive and self-motivated with 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 are adaptable and have high level of comfort with change and ambiguity Basic Qualifications : 4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures Preferred Qualifications: Decision Science or Workforce Planning. Required Education : 4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field. Preferred Education : Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
The Walt Disney Company Celebration, FL, USA
Aug 09, 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 Lake Buena Vista, FL, USA
Aug 07, 2019
Full-time
The Revenue Management organization is part of a team that supports Disney Resorts in the core competencies of yield management, revenue planning, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. This is an hourly, full-time project hire with no guarantee of permanent placement and will report to the Manager-Revenue Management. Responsibilities : Optimize Walt Disney World room inventory by strategically blocking reservations and maximizing overall resort utilization through the DREAMS, LILO, TravelBox, DVC Corporate (AS400Z), HROS and D3 systems. Provide reporting and exception requests for Resort Operations and Revenue Management teams. Basic Qualifications : Demonstrated strong expertise within Microsoft Excel, Word and Outlook Ability to learn new computer software quickly Demonstrated problem solving skills and continuous improvement process skills Established effective organizational and time management skills with an exceptional attention to detail Proven experience communicating to multiple levels in an organization Capability to prioritize multiple tasks and critically think through complex situations Willingness to be flexible with work schedule, including second shift, weekends and holidays Preferred Qualifications: Resort operations (e.g., front desk, concierge) or reservation call center experience Experience with LILO, DREAMS, DVC Corporate (AS400Z) and TravelBox systems Demonstrated expertise with MS Excel (e.g., pivot tables, VLOOKUP), Word and Outlook Familarity with SQL and Tableau Demonstrated exceptional analytical skills Proven experience and excellent understanding of Disney Vacation Club (DVC) Required Education : Associates degree or equivalent Preferred Education : Bachelor’s degree in Mathematics, Economics, Business Analytics or equivalent Additional Information : We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
The Walt Disney Company New York, NY, USA
Aug 04, 2019
Full-time
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels. Responsibilities : Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans Writing audience rules, queries, and merge rules Perform deep-dives of audience campaigns to inform best practices for different products and strategies Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions Understand key drivers and audiences for each business unit and their specific marketing potential Create documentation around new processes derived from audience testing results Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention Basic Qualifications : 4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact Demonstrated experience in audience development Relational, no-SQL and/or columnar data experience Proficient with SQL and Python/R or other statistical programming language Experience with Data Management Platforms (BlueKai preferred) and Data Onboarding Providers (Liveramp preferred) Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc. Strong understanding of 1st and 3rd party targeting capabilities The ability to turn raw data into visual insights to help support decisions Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum Preferred Qualifications: Working within the Marketing/Advertising vertical Machine learning experience Required Education : Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
The Walt Disney Company New York, NY, USA
Aug 04, 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 Product Manager, Data Platforms role will focus on audience data curation and activation product offerings servicing a diverse group of stakeholders across TWDC including ad sales, marketing, analytics, among others. You provide the coordination between your stakeholders and technical product management partners responsible for building the products to stakeholder requirements. You represent the voice of the customer and are responsible for supporting the product strategy, execution and launch of key data-driven products across DTCI’s portfolio of media properties. You must be an analytical, articulate, and business-minded self-starter, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle. Responsibilities : Support marketing/ sales/ product audience activation via the Bluekai DMP, LiveRamp, and other relevant data platforms. Assist in designing and shepherding custom integrations with Sr. Product Manager to support additional activation points out of CDP, DMP, LiveRamp, and other data platforms. Document activation processes for end users and sales enablement teams. Support Sr. Product Manager on initiatives to train key business stakeholder on Data Platform products. Collaborate with stakeholders for effective product requirements gathering, operational and go-to-market execution and communication. Basic Qualifications : Must have minimum 3 years previous experience in product management, product marketing, data, technology, digital marketing and/or consulting in a related field. Must have experience with data, including data products such as Data Management Platforms or Data Matching Partners (e.g.: Datalogix, LiveRamp, BlueKai, Adobe, Experian, Facebook, etc.) . Highly organized, and able to balance multiple projects at once. Excellent problem-solving, confidence in explaining intricate problems & solutions in a simple way, and able to balance working autonomously as well as cross-functionally. Curious, passionate and exhibits strong worth ethic. Required Education : BA / BS required, preferably with focus in Business, Communication, Advertising, Marketing, Computer Science and/or Engineering.
The Walt Disney Company Glendale, CA, USA
Aug 02, 2019
Full-time
The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. Responsibilities : Architect and lead the implementation of distributed systems solutions to data engineering problems. Partner with management in hiring and team building Analyze business needs, and design and build high-quality solutions Balance resources, requirements, and complexity Collaborate with customer representatives, product and project management teams Evangelize technologies, solutions, and best practices Contribute new ideas to a larger community of high-caliber professionals Basic Qualifications : We are looking for a seasoned, dynamic engineer who wants to shape the way that a major, fortune 100 entertainment company engages with data analytics. You have shipped millions of lines of code. You have lead teams, in a technical (and maybe managerial) role. You think naturally in terms of tradeoffs between flexibility and simplicity, between usability and security, between timeline, budget, and quality. We are looking for the following in a candidate: An educational background that has facilitated your technology career--surprise us! 10+ years of professional software experience Passion for building high-quality software and systems that deliver business value Passion about system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis Fluency with the fundamentals of algorithms and data structures You should have some mastery of: Spark, Hive, Databricks, and other big data technologies SQL and related tools Docker and Kubernetes The AWS environment and toolset A range of JVM/CLR languages, as well as scripting/systems languages like Python Distributed systems and API design Testing practices (unit, integration, performance) Revision control with git Preferred Qualifications: It would be great if you knew anything about: Kafka and other streaming technologies Dependency and build tools for continuous integration and deployment Elastic Search, Kibana, or other aggregation and search tools Teradata, Informatica, Snowflake, and other data warehouse solutions Tableau, MicroStrategy, d3, and other data visualization tools It would be cool if you have experience with or interest in: Data science, statistics, machine learning and other applied mathematics Data lake implementation and support GraphQL DynamoDB or RDS