{"id":3432424,"url":"https://alion.io/job/the-walt-disney-company-data-analyst","title":"Data Analyst","company":{"id":420,"name":"The Walt Disney Company","domain":"disneycareers.com","url":"https://alion.io/company/the-walt-disney-company","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":86,"ghost_share":0,"stale_share":0.907,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Monica, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":97500,"max":130700,"currency":"USD","period":"year","gross":null,"usd_annual":130700},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"closed","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T03:52:33Z","board_verified":false,"closed_at":"2026-10-31T03:52:33Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Posting Title:\nData AnalystReq ID:\n10158683Job Description:\nThe Subscriber Lifecycle & Commerce Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience.Our teammastersexploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains.\nResponsibilities\nLead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics,determiningrequired sample sizes, andvalidatingrandomization.\n\nPartner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, andidentifyways to maximize subscriber retention.\n\nCreate andmaintainoperational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.\n\nTranslate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.\n\nPartner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses.\n\nRequired Qualifications\nBachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, orotherrelatedfield.\n\n3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.\n\nStrong analytical skills with the ability to apply business strategy to data analysis and recommendations.\n\nStrong foundational knowledge of applied statistics, causal inference, andexperimentationmechanics in technology products.\n\nStrongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.\n\nExpertise withdata exploration and data visualization tools like Looker and Tableau.\n\nStrong technical analysis skills to investigate issues, analyze causes, quickly developpossible solutions, document changes, and communicate organizational impact.\n\nStrong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).\n\nDesired Qualifications\nExperience with Python and/or R for statistical analysis and model building.\n\nExperience with global billing, payment processing, and/or fraud prevention.\n\nExperience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.\n\nThe hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per year and in New York, NY is $102.100 to $136,900 per year. 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