About the Role:

Tubi is the largest growing AVOD platform with the best streaming experience and the most extensive library of Movies, TV shows, and Live News; it’s completely free and 100% legal. Tubi is a data-driven company and our data is growing at an incredible velocity, volume, and variety. Inside the organization, we rely heavily on data and insights for taking any decision associated with our product. As a product data analyst, you will work closely with various business teams like BizOps, Growth, Product to understand the growing data needs and own the process of defining the business and data definitions for KPIs (owning KPI Changement). You will also work closely with Data Engineering to understand our holistic analytics pipeline and work with the Data Science team to understand the impact of KPI changes in experiments and other business areas. As you learn and get familiar with Tubi data architecture, it unlocks the opportunity to identify patterns, trends of our user behavior and provide tangible insights to our product managers to make data-backed decisions.

Responsibilities:

• KPI Standardization and Tracking: Create and maintain KPI dashboards, own the process of making any business and data definitions changes to Tubi KPIs
• KPI Monitoring: Be the primary partner for stakeholders to understand the performance of the platform. Monitor and track metrics as leading or lagging, dig in to drive meaningful insights that help the business drive platform usage across our multiple platforms
• Analytics Pipeline: Work with Growth team analysts and Product Managers to help define the right events for the experiments and maintain the analytics events knowledge consistency by working with the Data Engineering team
• Deep-Dive Analysis:
  • Analyze data to identify patterns
  • Uncover opportunities
  • Build a common understanding of how users are interacting with the platform and features
• Insights and Recommendation: Work with product managers and other business units to understand the strategic goal metrics, team level goal metrics, product performance metrics and build the right dashboard to help track monthly, quarterly goals and unlock opportunities
• Build and Deploy: Work with teams like BizOps and Content to build DBT models and deploy in production environments

Your Background:

• Master’s or Bachelor’s degree from an accredited university, or equivalent work experience
• Must have experience in the streaming industry
• 4 years of experience working in roles as a Product Data Analyst or Business Intelligence Engineer with product managers, business groups, and data engineers 
• Experience working with a Data Engineering teams (or similar teams) to understand the backend analytics events system
• Experience working on ETL and Data Modeling (DBT or other ETL tools is a huge plus) 
• Prior experience working in A/B testing and experimentation setup is a huge plus
• Prior experience working with attribution and deep linking data is a huge plus (ex: Adjust, branch, Singular, etc) 
• Solid hands-on SQL and data wrangling skills (AWS, Snowflake, etc.) 
• Spark SQL knowledge and experience is a plus
• Strong experience working on defining and using analytics events or product analytics tools
• Familiarity with data visualization tools like Tableau, Looker and Periscope
• Experience working with executive-level stakeholders for presenting insights and recommendations
• Experienced in developing and maintaining standardization in data, metrics, and dashboards

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