Data Analyst

Disney Media & Entertainment Distribution

New York, Santa Monica (NY, CA)

On-site

CAD 75,000 - 110,000

Full time

12 days ago
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Job summary

Disney Media & Entertainment Distribution seeks a Data Analyst to measure and optimize purchasing and payment experiences. You will perform exploratory data analysis, build dashboards, and deliver insights that guide product and business decisions.

Responsibilities include end-to-end experimentation, collaborating with Product/Data Science, and translating questions into actionable plans. Strong SQL and visualization skills are essential in this fast-paced environment.

Qualifications

  • Bachelor’s degree required in analytics, CS, stats, economics, math or related field.
  • 3+ years of hands-on SQL analytics to inform product or business decisions.
  • Strong analytical skills with ability to apply business strategy to data analysis and recommendations.
  • Solid knowledge of statistics, causal inference, and experimentation mechanics in tech products.
  • Proficiency in SQL (Snowflake/Databricks) for data manipulation and trend interpretation.
  • Experience with data exploration and visualization tools like Looker and Tableau.
  • Strong documentation of data requirements, data strategy, and data rules.

Responsibilities

  • Lead end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention.
  • Collaborate with Product, Data Science, and Business Operations to analyze user behavior and design interventions.
  • Create and maintain dashboards in Looker and Tableau for performance tracking and self-service analysis.
  • Translate business questions into analysis plans with hypotheses, SQL, statistics, and executive presentations.
  • Partner with Analytics Engineering, Data Engineering, and Data Science to build data pipelines for complex transactional data.

Skills

SQL
Analytical thinking
Statistics
Experimentation
Snowflake/Databricks SQL
Data storytelling

Education

Bachelor’s degree in Analytics, CS, Statistics, Economics, Mathematics

Tools

Looker
Tableau
Snowflake
Databricks

Job description

Data Analyst

The 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.

Responsibilities
  • Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics,determiningrequired sample sizes, andvalidatingrandomization.
  • Partner 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.
  • Create andmaintainoperational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.
  • Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.
  • Partner 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.
Required Qualifications
  • Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, orotherrelatedfield.
  • 3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.
  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.
  • Strong foundational knowledge of applied statistics, causal inference, andexperimentationmechanics in technology products.
  • Strongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.
  • Expertise withdata exploration and data visualization tools like Looker and Tableau.
  • Strong technical analysis skills to investigate issues, analyze causes, quickly developpossible solutions, document changes, and communicate organizational impact.
  • Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).
Desired Qualifications
  • Experience with Python and/or R for statistical analysis and model building.
  • Experience with global billing, payment processing, and/or fraud prevention.
  • Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.

The 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. 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.

Employment Type: Full time

Primary City, State, Region, Postal Code: Santa Monica, CA, USA

Alternate City, State, Region, Postal Code: USA - NY - 7 Hudson Square

Date Posted: 2026-08-24

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