Partner with cross-functional stakeholders (product, marketing, content, revenue) to translate business questions into analytical frameworks and deliverables
Build and maintain dashboards, reports, and self-serve analytics tools that support day-to-day decisions
Conduct deep-dive analyses to surface trends, opportunities, and risks across engagement, monetization, audience growth, and content performance
Design and analyze experiments (A/B tests, feature rollouts) to validate hypotheses and quantify business impact
Develop forecasting and quantitative models to support both short-term planning and long-term strategy
Define and standardize key metrics across teams, ensuring consistency in how the business measures success
Collaborate with Data Engineering on data quality, modeling, and pipeline improvements
Mentor junior analysts and champion data literacy and a data-driven culture across the organization
Qualifications
3+ years of experience in business analytics, BI, or data analytics roles (media, digital, or consumer tech industries strongly preferred)
Strong proficiency in SQL — comfortable writing complex queries, optimizing performance, and working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar)
Hands-on experience with modern BI/visualization tools (Looker, Tableau, Power BI, Metabase, or similar)
Working knowledge of Python (or R) for analysis, automation, and statistical modeling
Solid grasp of statistics, experimentation methodology, and forecasting techniques
Strong business acumen with deep understanding of media industry metrics (DAU/MAU, retention, ARPU, CTR, watch time, ad revenue metrics, etc.)
Excellent communication skills — able to translate complex analyses into clear narratives for both technical and non-technical audiences
Self-driven, comfortable with ambiguity, and able to manage multiple priorities under tight deadlines
Nice To Have
Familiarity with data modeling concepts and tools like dbt
Experience with version control (Git) and code-based analytics workflows
Exposure to machine learning or predictive modeling
Prior experience mentoring analysts or leading analytics projects end-to-end
