From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy.

Disney’s Direct to Consumer (DTC) team oversees the Hulu and Disney+ streaming businesses within the Disney Entertainment segment, helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.

At Disney’s DTC, data is central to measuring all aspects of the business, and critical to its operations and growth. Within DTC’s Business Operations function, the Executive Reporting & Business Insights team is a highly visible team who works closely with DTC executives and stakeholders across all business areas for consistent collection, usage, and presentation of business critical KPIs and data points. 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.

We are seeking a Senior Business Analyst, with a strong attention to detail, a high level of accountability, collaborative abilities, and substantial hands-on expertise with intricate, extensive datasets. You will focus on tasks such as data analysis, defining KPIs, conducting data investigations, and implementing and executing production processes to guarantee data quality and completeness throughout the entire data lifecycle.

What You Will Do

• Business Performance Reporting, Visualization, and Regression Management: Be a primary partner for cross-functional stakeholders to understand. When a metric is ahead or behind expectations, dig in to drive significant, actionable insights that help the business performance improve or double-down on success.
• Deep-Dive Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create a common understanding of how people are interacting with the platform and content.
• Forecasting, and Opportunity Sizing: Utilize forecasting and opportunity sizing to both to set goals and help evaluate potential opportunities. This will help business stakeholders evaluate trade-offs in different approaches and build targets for driving business performance.
• Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.

Required Qualifications & Skills

• 4+ years of analytical experience.
• 2+ years of Python, Spark and/or SQL or other data manipulation tools.
• High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow.
• Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
• Strong experience in detailing the data requirements, data strategy, data rules (standardization, cleanse, and validation).
• Outstanding interpersonal skills and strong written communication skills
• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solution(s), document the changes, and communicate the change to the organization.
• Ability to evaluate risks and provide recommendations / solutions in a timely manner.
• Ability to think strategically, analyze and interpret market and consumer information.
• Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).

Preferred Qualifications

• Prior experience in the streaming media industry or knowledge of data and Video on Demand (VOD) and subscription-based services (SVOD) is preferred.
• Experience compiling and presenting detailed analysis to an executive audience is preferred.
• Experience operating in a software development lifecycle (SDLC) environment and deploying code.

Required Education

• BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired.