Sr. Analyst, Viewing Product Analytics
About The Position
Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences Understand how users navigate the app experience as they enter video playback Work within large datasets to interpret trends and turn those into sound recommendations Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making Partner with Data Engineering teams to identify and enhance data sources Prepare and inform material for senior level executive presentations Leverage data visualization tools like Tableau to curate reporting for cross-functional teams
Requirements
- 2+ years of experience working in a data-oriented role
- BA/BS or MS degree in a quantitative area of study (Statistics, Mathematics, Economics, Finance, or Computer Science) or relevant work experience
- Proficient in SQL and Excel (R or Python a plus)
- Experience with Tableau, Looker, Domo or equivalent data visualization tools
- Experience working with large datasets
- Knowledge of A/B and multivariate tools, as well as statistical models
- Demonstrates strong attention to detail, work ethic, sense of curiosity, accountability, and ability to execute projects of all sizes with vision & purpose
- Strong interpersonal skills with the ability to motivate, collaborate and influence
- Ability to deliver on multiple projects and meet tight deadlines
- Self-driven, confident, resourceful, and resilient
- Intellectual curiosity and interest in media industry or product
Responsibilities
- Partner with Viewing Product teams to understand app performance and deliver recommendations to expand and engage with key audiences
- Understand how users navigate the app experience as they enter video playback
- Work within large datasets to interpret trends and turn those into sound recommendations
- Maintain, update, and distribute actionable dashboards or reports to ensure data democratization and informed decision making
- Partner with Data Engineering teams to identify and enhance data sources
- Prepare and inform material for senior level executive presentations
- Leverage data visualization tools like Tableau to curate reporting for cross-functional teams
Benefits
- medical
- dental
- vision insurance
- 401(k)
- paid leave
- tuition reimbursement
- a variety of other discounts and perks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
