Lead, Business Intelligence

What you'll do

• Design and implementation of automated, scalable reporting infrastructure and analytics solutions
• Design and build data pipelines, ETL workflows and dashboards collaborating with other analysts
• Continuously monitor, report and review business metrics and supply quality with internal stakeholders
• Translate data into actionable prescriptive insights and recommendations
• Initiate, execute and fully own projects from planning to execution collaborating with BI team members
• Perform deep-dive analysis to understand trends, anomalies, and provide actionable recommendations
• Independently build and manage relationships with internal stakeholders including Director/VP+ level
• Partner closely with Inventory & Data Partnerships, Product Solutions, Platform Quality Teams, and work cross-functionally on data analysis
• Leverage AI/LLM tools (Claude, Gemini, ChatGPT) to accelerate analysis, automate repetitive tasks, and draft documentation

Requirements

• Experience scripting with SQL and/or Python or PySpark, extracting large sets of data and designing ETL flows
• Prior experience working in Business intelligence/Data/Analytics teams and/or platforms building predictive data & analytics solutions
• Bachelor’s or Master’s degree in a quantitative field (e.g., finance, economics, statistics, math)
• Minimum 4+ years of working experience in a quantitative or analytics-driven environment with solid understanding of statistical techniques
• Experience with data visualization tools (ThoughtSpot, Tableau, Qlik, Looker, etc)
• Strong verbal and written communication skills, comfortable presenting detailed technical and statistical analyses to senior stakeholders
• Ability to write effective prompts, critically evaluate AI-generated output, and integrate AI tools into day-to-day workflows
• Programmatic Advertising experience/expertise in working with RTB, DSPs, SSPs, publishers or other related platforms preferred

Tech stack

Benefits