Senior Data Analyst

Role Overview

The Product & Tech Analytics team is seeking a Sr. Data Analyst who will be a key player in driving personalization strategy on Disney+ and Hulu. We partner across the business to turn raw data into meaningful insights, and then turn those insights into strategic recommendations that steer key decisions in the product.

What You Will Do

You’ll work with personalization product teams, business leadership, and industry-leading machine learning experts to understand recommendation system performance and identify areas for strategic investment. Through this collaboration, you’ll design innovative approaches to measure success, test hypotheses, extract actionable insights, and develop recommendations that drive key decisions behind our algorithms.

Why It Might Be a Fit

Our ideal candidate is an excellent coder and communicator who crafts high-impact, data-informed stories to decode challenging and unstructured problems, and can responsibly manage complex projects that cross several silos.

Requirements

• Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field
• 5+ years of experience in data analytics, including 2+ years at a senior level
• Proficiency and 3+ years of applied experience creating complex queries and analysis on very large datasets in SQL and Python, leveraging Snowflake, Databricks, or a similar data warehouse
• 3+ years of applied experience with data exploration, visualization, and instrumentation in Looker (or an equivalent tool like Tableau)
• 3+ years experience with A/B testing – including power analysis, use of experimentation code libraries, metric selection, test design, and interpreting complex results
• Familiarity with notebooking and scheduled job instrumentation in Python
• Strong understanding of statistics concepts (e.g. hypothesis testing, statistical power, confidence intervals, regression analysis, Type I/II error, etc.)
• Ability to think strategically and interpret market and consumer information contextually
• Strong communication and interpersonal skills, including written and verbal presentation skills, with experience presenting to diverse audiences and managing strong personalities
• Experience managing end-to-end analytical projects, including documenting requirements up front, setting deadlines, and delivering strategic meaningful impact

Benefits

• Bonus
• Long-term incentive units
• Medical benefits
• Financial benefits
• Other benefits

Tagged as: Data Analysis