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Lead Data Analyst

$141.9k - $208.4k

Disney Entertainment and ESPN Product & Technology

Lead Data Analyst role supporting Disney+ and Hulu personalization strategy within the Product & Technology Analytics team. Responsibilities Own large-scale analyses of product performance and user behavior, applying statistical modeling, experimentation, and causal inference to surface opportunities and shape product strategy. Drive personalization experiment design and execution, covering power analysis, metric selection, SQL/Python analysis, interpretation, and stakeholder recommendations. Partner with product and data engineering teams to improve data quality, build scalable datasets, and instrument new product features for dependable analysis and reporting. Use and help advance AI-assisted analytics tools and workflows to increase speed, scale, and quality of analysis. Investigate product issues and analyze user behavior, rapidly answering complex business and product questions using large datasets. Requirements Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field. 7+ years of data analytics experience, including 3+ years in a senior or lead-level capacity. Advanced SQL and Python skills, including complex analysis on large datasets, notebook-based workflows, and scheduled analytical jobs. Advanced knowledge of experimentation and statistical analysis, including hypothesis testing, power analysis, metric selection, regression, causal inference, test design, and interpretation. Product analytics experience, including user behavior analysis, funnels, engagement, and feature performance. Experience building analyses, dashboards, and visualizations in Looker , Tableau , or a comparable BI platform. Proven ability to lead end-to-end analytical projects: define requirements, manage timelines, collaborate with data engineering, and deliver strategic outcomes. Strategic communication skills to translate complex findings into clear recommendations for technical, business, and executive audiences. Experience building or applying AI-assisted analytics tools and workflows. Preferred Qualifications Background in streaming media or subscription-based products. Advanced knowledge of Looker. Proven ability to manage projects that require new datasets, collaborating with data engineering teams to improve data quality and build foundational datasets for scalable analysis. Master’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field. Tech SQL Python Looker Tableau Location & Compensation Location: New York, NY (onsite) Salary: USD 141,900 - 208,400 per year #J-18808-Ljbffr

Vacancy posted 2 days ago
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