The Walt Disney Company este o companie globală de divertisment construită în jurul poveștilor, personajelor și experiențelor oferite vizitatorilor. Operațiunile sale includ parcuri tematice și stațiuni, rețele media, studiouri de film și media interactivă, iar produsele și experiențele sale ajung la public din întreaga lume prin diverse platforme și dispozitive. Înființată în 1923, Disney reunește o forță de muncă internațională numeroasă în domeniile divertismentului, ospitalității, călătoriilor și alimentației și băuturilor, menținând totodată un accent pe confidențialitate, transparență și conformitate în gestionarea datelor consumatorilor.
Lead UX Analytics Data Analyst – Santa Monica Hybrid
Lead analytics for Disney streaming products, guiding experimentation and user experience decisions. Design A/B tests, analyze behavior, develop metrics, and communicate recommendations to product and executive stakeholders.
Statele Unite ale Americii
California141.900 $ – 208.400 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăAnalist de dateDescriere
- Analyze how users navigate and engage with Disney streaming products
- Assess whether product and feature changes achieve their intended outcomes
- Define success metrics and measurement strategies for product experiments
- Lead A/B tests across navigation, discovery, and feature surfaces, from metric selection and test design through power analysis and final recommendations
- Create and manage measurement frameworks and product success metrics
- Examine how users discover, use, and return to content
- Share insights with product managers and prepare readouts for VP and SVP audiences
- Create and maintain dashboards to monitor key product surfaces continuously
- Direct complex analytics projects from initial framing and methodology through analysis and recommendations
Cerințe
- Bachelor’s degree in a related discipline
- At least seven years of experience in data analytics
- Demonstrated ability to produce analysis that shaped a business or product decision
- Extensive experimentation expertise, including test design, power analysis, metric selection, and accurate interpretation of local and global results
- Advanced metric development skills, including defining measurement goals, rationale, and potential failure modes before data collection
- Advanced SQL experience with large-scale behavioral data, including pathing, funnel, and cohort analysis
- Proficiency with Python for scripting, text processing, and analyses that require more than SQL
- Experience developing visual dashboards with Looker and LookML
- Working knowledge of Tableau
- Outstanding written, verbal, and presentation skills
- Streaming or subscription product experience is a plus
- Experience with causal inference techniques beyond standard A/B testing, such as difference-in-differences and synthetic control, is a plus
- An advanced degree in a quantitative discipline is a plus
Beneficii
- Bonus and/or long-term incentive units may be available
- Medical coverage
- Financial benefits
- Additional benefits may vary by level and position
- Work is primarily performed on-site, with occasional work from home