Assoc Data Analyst
Job Summary:Job Description
Responsibilities:
Data Analysts in the Disney Streaming Engagement & Retention Analytics team are the analytics partner for the organization's Product Marketing team. They support Disney’s streaming services through measurement, analysis, and insight generation. These analysts focus on helping our subscribers get the most value out of our services and improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
Basic Qualifications:
- Business Performance Reporting, Visualization, and Regression Management: Be the primary partner for cross-functional stakeholders to understand engagement and retention on the platform. When engagement is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
- Creation of New Reporting: Partner with stakeholders to create new dashboards that will be used day-to-day by the marketing and executive teams
- Refining the data model and processes: Help improve the underlying data model and processes that impact data analysis, dashboard creation and reporting.
- Experimentation Analysis: Provide clear recommendations from A/B tests to stakeholder groups and product teams to measure impact of campaigns and product changes. Maintain and support ETL and experimentation strategy across streaming platforms
- Deep-Dive Analysis: Analyze user behavior to identify patterns, uncover opportunities, and create a shared understanding of how our subscribers are engaging with the platform.
- Forecasting, and Opportunity Sizing: Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs in different approaches and create targets for driving business performance.
- Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
Preferred Qualifications:
- 0-1+ years of analytical experience.
- 0-1 years’ work experience using SQL and Python/R. Knowledge of SQL up to CTEs and window functions.
- Familiarity with data exploration and data visualization tools like Tableau, Looker, etc.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills, as well as written and verbal presentation skills.