Senior Data Analyst - Disney DTC Sports & ESPN Analytics

Disney Entertainment and ESPN Product & Technology; New York (NY); On-site; USD 125,000 - 167,000; Full time

Job summary

The Walt Disney Company’s Disney DTC Sports & ESPN Analytics team seeks a Senior Data Analyst in New York to turn data into insights for ESPN’s direct-to-consumer products. You will build a centralized metrics layer, governance, and self-serve tooling, partnering with product and engineering.

You will design data pipelines, validate metrics, and lead end‑to‑end experimentation and analysis to inform product decisions and improve user experiences across ESPN apps.

Qualifications

• Degree in an analytical area such as Mathematics, Statistics, Operations Research, Computer Science, Economics, or equivalent practical experience
• 5+ years of relevant work experience in analytics, product analytics, and/or business intelligence
• Advanced SQL — read and write complex analytical queries and understand aggregation logic
• Python for data manipulation, analysis, and pipeline work
• Experience with data warehousing and dimensional modeling
• Experience with product experimentation and A/B testing
• Experience with data visualization tools and storytelling

Responsibilities

• Own and evolve the source‑of‑truth metric layer for ESPN app performance, including KPIs and caveats
• Design and maintain pre‑aggregated metric tables and serving views in Snowflake
• Build monitoring and decomposition logic to identify real KPI movements and drivers
• Collaborate with product engineering to QA analytics and instrumentation
• Build dashboards and self‑serve tooling in Looker to reduce ad‑hoc reporting
• Conduct SQL and Python analyses of multivariate data and derive new metrics
• Lead end‑to‑end experimentation collaborations and readouts
• Reconcile ESPN metrics across teams and align on definitions
• Serve as a key partner for ESPN product and engineering teams
• Communicate results through compelling data storytelling to leadership

Skills

Advanced SQL

Python

Communication skills

Analytical thinking

Education

Analytical degree (Math/Statistics/OR/CS/Economics)

Tools

Looker

Tableau

Snowflake

Databricks

PySpark

Job description

Senior Data Analyst - Disney DTC Sports & ESPN Analytics

Job ID 10163175 Location New York, New York, United States Business Disney Entertainment and ESPN Product & Technology Date posted Nov. 05, 2026

The Disney DTC Sports & ESPN Analytics team is seeking a Senior Data Analyst who will be an exceptional addition to our team. You will be responsible for turning data into information, information into insights, and insights into key business decisions that steer the strategic direction of ESPN's direct-to-consumer product strategy. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about high quality digital product experiences.

You will play a key role in building out ESPN's product analytics function from the ground up, serving as a dedicated point of contact and thought partner for the ESPN product and product engineering teams. You will lead the foundational work streams for ESPN app measurement: standing up a governed, centralized source of truth for ESPN app performance metrics — canonical definitions, consistent logic, and numbers the business can align on — and building the self-serve tooling that lets stakeholders not only see that a KPI moved, but locate what drove the movement. You will also be the experimentation partner to the product organization, shaping how ESPN app features are tested and how those results are read.

This role is hands‑on and technical. You will design and maintain the aggregation logic and metric tables that sit underneath executive reporting, and you will be expected to defend the numbers you publish — including the measurement caveats that travel with them.

RESPONSIBILITIES

• Own and evolve the source-of-truth metric layer for ESPN app performance — headline KPIs (DAU, time spent, watch minutes), their definitions, their dimensional breakouts, and the documented caveats that accompany each
• Design and maintain pre‑aggregated metric tables and serving views in Snowflake, and the scheduled pipelines that refresh them, ensuring metrics are correct at every level of aggregation
• Build the monitoring and decomposition logic that identifies when a KPI movement is real and where it is concentrated — baselines, significance thresholds, contribution ranking, and volume‑versus‑mix splits
• Distinguish genuine behavioral movements from measurement artifacts and instrumentation breakage, and partner with product engineering to close the analytics QA gap on client releases
• Build dashboards and self‑serve tooling in Looker that reduce stakeholder reliance on ad‑hoc analyst pulls
• Conduct analyses using SQL and Python to access and manipulate multivariate product and behavioral data, and ideate new metrics and analytical approaches for in‑app user behavior
• Partner with product and engineering on experimentation end‑to‑end — translating a product question into a testable hypothesis, selecting primary and guardrail metrics, sizing and powering the test, validating assignment and exposure, analyzing the readout, and diagnosing what happened when a test misbehaves or reads flat
• Reconcile ESPN app metrics across teams and systems, and drive alignment on definitions with Research, Data Product, and data engineering partners
• Serve as a dedicated point of contact and thought partner for ESPN product and product engineering teams, taking projects end‑to‑end from vague business need to socialized insight
• Communicate results through compelling data storytelling to product leadership and the broader ESPN business

BASIC QUALIFICATIONS

• Degree in an analytical area such as Mathematics, Statistics, Operations Research, Computer Science, Economics, or equivalent practical experience
• 5+ years of relevant work experience in analytics, product analytics, and/or business intelligence
• Advanced SQL — able to read and write complex analytical queries, and to reason about correctness of aggregation logic (for example, why a distinct‑count metric cannot be summed across segments)
• Working proficiency in Python for data manipulation, analysis, and pipeline work
• Practical understanding of data warehousing and dimensional modeling — how metric tables are structured, refreshed, and served to downstream consumers
• Applied statistical judgment: constructing baselines, assessing whether a change is meaningful versus noise, and handling seasonality and day‑of‑week effects
• Hands‑on product experimentation experience — designing and executing A/B and multivariate tests, analyzing results (significance, confidence intervals, minimum detectable effect, guardrail metrics), and diagnosing common failure modes such as sample ratio mismatch, assignment or exposure leakage, interaction effects, and novelty decay
• Experience with data visualization tools (Looker, Tableau, or equivalent) coupled with strong storytelling skills for technical and non‑technical audiences
• Experience taking vague requirements and manipulating them into polished final products
• Strong and effective communication and presentation skills

PREFERRED QUALIFICATIONS

• Hands‑on experience with digital clickstream or behavioral analytics data (Adobe Analytics, Amplitude, or similar), including its identity and measurement limitations
• Experience with Databricks, PySpark, or comparable large‑scale data processing
• Experience establishing metric governance — canonical definitions, reconciliation across teams, and change management on metric logic
• Experience with an experimentation platform (Optimizely, Statsig, Amplitude Experiment, or in‑house) and with scaling experimentation practice across product teams
• Familiarity with identity resolution across web, app, and connected TV, and the practical consequences of cookie‑based measurement
• Prior experience in Sports or Media/Entertainment

PAY TRANSPARENCY

The hiring range for this position in New York, NY is $124,900 - $167,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

This position is withDisney Entertainment & Sports LLC, which is part of a business we callDisney Entertainment and ESPN Product & Technology.

To learn more about Disney's guidelines on the use of AI for candidates, click here. (opens in new window)

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

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The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs (opens in new window) . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world‑class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

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