Commerce Analytics Analyst: Payments & Experiments

The Walt Disney Company (France); Santa Monica (CA); On-site; USD 98,000 - 131,000; Full time

Benefits offered by this job

Bonus and long-term incentive units

Job summary

The Walt Disney Company is seeking a Data Analyst to measure, understand, and improve purchasing and payment experiences. You will drive end-to-end experiments, build dashboards, and partner with Product, Engineering, Data Science, and Business Operations to deliver actionable insights.

Responsibilities include leading experimentation lifecycles, analyzing user behavior, and creating self-service analytics for stakeholders.

Qualifications

• Bachelor’s degree in analytics, CS, statistics, economics, math or related field.
• 3+ years of hands-on analytical work experience with SQL.
• Strong knowledge of statistics, causal inference, and experimentation mechanics.
• Proficiency in SQL (Snowflake/Databricks) for large data sets and pipelines.
• Experience with Looker and Tableau for data visualization.
• Ability to document data requirements and data rules.

Responsibilities

• Lead end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention.
• Partner with stakeholders to analyze user behavior and design interventions in payment and monetization.
• Create and maintain dashboards in Looker and Tableau for performance over time.
• Translate business questions into actionable analysis plans with hypotheses and results.
• Collaborate with Analytics Engineering/Data Engineering/DS teams to build data pipelines.

Skills

SQL

Looker

Tableau

Statistics

Experimentation

Data exploration

Python

R

Data pipelines

Causal inference

Education

Bachelor’s degree in Analytics/CS/Statistics

Tools

Snowflake

Databricks

Looker

Tableau

Job description

The Walt Disney Company is seeking a Data Analyst to measure, understand, and improve purchasing and payment experiences. You will drive end-to-end experiments, build dashboards, and partner with Product, Engineering, Data Science, and Business Operations to deliver actionable insights.

Responsibilities include leading experimentation lifecycles, analyzing user behavior, and creating self-service analytics for stakeholders.