Success in streaming isn’t about guesswork, it’s about understanding what people watch, how they engage, and why they come back. That’s where you come in. We’re looking for a Senior Analyst, Data Product Management to join our team. This role will support the Analytics Data Platforms and Business Intelligence tools that power our AVOD and SVOD streaming businesses. You’ll play a critical role in enabling self-service analytics and empowering teams across Product, User Experience, Marketing, and beyond with actionable insights. You’ll collaborate closely with stakeholders to understand their needs, partner with our BI and Data Engineering teams to define data roadmaps, and ensure we deliver the tools and capabilities that shape strategic decision-making.
You’re analytical, detail-oriented, and passionate about turning data into insight. You bring a strong understanding of data product management and have experience building, optimizing, and maintaining analytics platforms. You know how to translate complex data into clear stories, measure product performance, and guide improvements that enhance user experience.
YOUR DAY-DAY: (aka Responsibilities)
- Develop a deep understanding of how data is collected, transformed, and reported across mobile, web, and CTV platforms.
- Design, refine, and democratize key performance metrics (KPIs) to measure the success of our AVOD and SVOD streaming models.
- Monitor and analyze user engagement data to identify opportunities that enhance the product experience.
- Collaborate with technical teams to prioritize and validate data tagging and collection efforts.
- Build clear, story-driven visualizations that track product performance, user engagement, and test outcomes.
- Partner with Product, Engineering, and UX teams to analyze updates, experiments, and optimizations— and turn findings into actionable insights.
- Work cross-functionally to define a consistent metrics framework that aligns analytics efforts across the organization.
- Collaborate with Data Engineering and BI teams to shape product roadmaps and delivery timelines.
- Align with other analytics teams (Marketing, Content, Strategy) to create a unified, scalable BI capability.
YOU HAVE: (aka Qualifications)
- Bachelor’s degree required; Master’s degree preferred in Business, Computer Science, Data Analytics, or a related field.
- 3–5+ years of experience in the Media, Streaming, or Gaming industry in an analytical or data product focused role
- Required tool skillsets: Strong SQL experience (BigQuery, AWS, SQL Server or similar), product analytics tools (Statsig, Amplitude, Mixpanel, Google Analytics or similar), Microsoft Excel.
- Nice to have tool skillsets: Data visualization software (Looker, Tableau, Domo or similar), CDP (Segment or similar).
- Strong understanding of key product engagement drivers in AVOD and SVOD streaming services.
- Experience designing and evaluating product specific A/B tests.
- Skilled in creating clear, insightful visualizations and presentations to communicate data-driven findings to diverse stakeholders.
- Proven ability to manage multiple projects and work independently in a fast-paced, evolving environment.
- Exceptional attention to detail, analytical thinking, and a desire for continuous improvement.
- Excellent communication and collaboration skills across technical and non-technical stakeholders.
ELIGIBILITY REQUIREMENTS:
- Employment and education will be verified.
- Applicants must be currently authorized to work in the United States on a full-time basis.
TelevisaUnivision believes that happy, well-balanced employees are key to a thriving culture. We offer a wide selection of perks and benefits including PTO, tuition reimbursement, wellness and employee support programs, 401K, and various life and insurance plans. Additionally, our comprehensive health benefits package features medical, dental, and vision coverage options.
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TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.