Data Analyst

Job Posting Title:

Data Analyst

Req ID:

10121178

Job Description:

About The Role

The Sports Data Analyst will play a pivotal role within Disney’s Direct-to-Consumer (DTC) Sports Analytics team, supporting the transformation of how we measure, understand, and grow engagement across our sports portfolio. As part of a highly collaborative team that bridges ESPN and Disney Streaming, you'll work on end-to-end analytics workflows: from building foundational datasets and defining KPIs to surfacing insights that drive programming decisions, product optimizations, and marketing strategy. 

You’ll partner closely with stakeholders across ESPN Programming, DTC Product, Research, Lifecycle Marketing, and Data Science. Your focus will span from deep-dives into tentpole events and deal performance (e.g., UFC PPVs, NHL games, ESPN+ integrations) to broader ecosystem analyses of fan behavior across streaming, web, and app platforms. Whether you're quantifying the impact of a new feature in the ESPN App or helping define success for a cross-platform sports launch, your work will directly shape the sports streaming experience for millions of fans. 

The ideal candidate is equally comfortable exploring raw data and explaining their findings to senior executives, and thrives in an environment that blends sports passion with analytical rigor. This role offers a rare opportunity to sit at the center of one of the most dynamic intersections in media, where real-world sports moments meet digital innovation. 

Key Responsibilities 

• Translate complex subscriber and engagement data into clear, actionable insights to support ESPN content strategy, product development, and marketing effectiveness 

• Conduct analyses to evaluate the performance of key sports events and programming partnerships (e.g., NHL, College Football, LaLiga), including real-time tentpole monitoring and post-event debriefs 

• Build and maintain dashboards that visualize trends in cross-platform engagement, fan behavior, and content performance 

• Develop new metrics and analytical frameworks (e.g., fandom tiering, ecosystem flows) to deepen understanding of how users interact with sports content 

• Partner with data engineering and product teams to define and improve foundational datasets and engagement pipelines used across the organization 

• Support product launches and feature rollouts with stakeholder-aligned KPIs, reporting workflows, and performance tracking 

• Communicate insights through presentations, written briefs, and stakeholder discussions, adapting content for both technical and executive audiences 

Basic Qualifications 

• Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, or a related field 

• 3+ years of hands-on experience conducting data analysis in a business or streaming/media context 

• Fluency in SQL, with the ability to query and transform large-scale behavioral datasets 

• Proficiency in Python or R for data wrangling, exploratory analysis, and statistical modeling 

• Experience building dashboards and visualizations in tools like Looker, Tableau, or other tools 

• Ability to distill complex findings into business-relevant recommendations 

Preferred Qualifications 

• Background in streaming, digital media, or DTC subscription analytics 

• Experience working with Snowflake or other behavioral data platforms 

• Knowledge of sports content, fandom patterns, or seasonal audience dynamics 

• Comfort working across stakeholder groups, including programming, product, data science, and engineering 

• Exposure to predictive modeling, A/B testing, and experimentation frameworks

• Familiarity with subscriber engagement, conversion funnels, or sports content performance metrics  

Why Join Us? 

Joining the Sports Analytics team means stepping into a uniquely cross-functional role that blends fan passion, business strategy, and technical execution. You'll be part of a high-impact team that: 

• Acts as the connective tissue between ESPN and Disney Streaming, bringing together behavioral data, strategic priorities, and audience insights to inform the future of sports at Disney 

• Tackles high-visibility, high-impact questions that influence league partnerships, product launches, subscriber engagement strategies, and cross-platform merchandising 

• Collaborates with elite analytics partners across Data Science, Product, Engineering, and Research to build models, tools, and measurement frameworks used across the com