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We're looking for a Sr. BI & Analytics Analyst to own and evolve our Single Source of Truth for profitability performance. In this role, you'll work with large-scale datasets across AWS and DataBricks, transforming the data into actionable insights for our business units, revenue operations, and senior leadership teams. As a senior member of the analytics team, you'll set standards for data modeling, mentor other analysts, and partner closely with Finance, Technology, and Business leaders to ensure our data is reliable and translated into insights that drive product performance, revenue visibility, and strategic decision-making.
Job Responsibility
Design and write complex SQL queries to aggregate auction data AWS
Structure large-scale event data into a centralized data warehouse
Build and maintain data models that define core business metrics
Ensure Finance, Technology, and Business teams are working from consistent and reliable data
Lead the transition from legacy reporting tools to Looker
Develop LookML models and dashboards tracking signal volume, API performance, and customer activity trends
Partner with Finance to measure unit economics, margin by signal type, and revenue attribution
Partner with Technology teams to monitor signal delivery and data health using AWS logs and Datadog
Partner with Business Units to build profitability views showing which signal channels drive the most value
Maintain data integrity across Last Activity API and Activity Signal products
Identify and resolve data discrepancies and latency issues before they impact reporting or billing accuracy
Define and document analytics standards and best practices for the broader team
Requirements
5+ years of experience in business intelligence, data analytics, or data engineering environments
Demonstrated experience working with large-scale datasets and owning core business metrics end-to-end
Advanced SQL with the ability to query large, complex datasets
Experience working in cloud data environments such as AWS and DataBricks
Experience building dashboards and data models in Looker (LookML) or leading a migration to Looker
Experience working with event-based data, API logs, marketing, or streaming data
Ability to translate large datasets into clear business insights and performance metrics
Strong understanding of financial metrics such as LTV, CAC, and gross margin
Ability to work cross-functionally with Finance, Engineering, and business stakeholders, and to influence at a senior level
Nice to have
Familiarity with AWS / Snowflake for monitoring data pipelines and system performance
Experience analyzing API products, signal data, or event-driven systems
Experience mentoring analysts or setting team-wide analytics standards