Manager, BI & Analytics

5+ years in Commercial Analytics, Revenue Analytics, Data Engineering, Business Intelligence, or Strategy & Ops roles. Hands-on experience building data lakes/warehouses and ETL/ELT pipelines (Python, SQL/PostgreSQL, dbt, Airflow, Fivetran, Databricks, Snowflake). Deep understanding of commercial metrics. Strong finance literacy (bookings, billings, revenue recognition preferred). Proven ability to partner with GTM and Product teams to operationalize insights. Experience architecting end-to-end data systems integrating marketing, sales, product, and financial data.

Design underlying data lake for future reporting. Own commercial-facing data lake, scaling to G&A functions. Build ELT/ETL pipelines from CRM, marketing, product usage, and finance systems. Define data governance, standards, and data model structures. Ensure data reliability, accuracy, and consistency. Develop reporting and models for pipeline health, marketing performance, NRR/GRR, and forecasting. Identify leading indicators of commercial performance and operational bottlenecks. Automate manual reporting with BI pipelines. Own the BI stack (e.g., Tableau / Looker / PowerBI). Implement scalable metric definitions, data dictionaries, self-serve data models, and governance. Partner with Marketing, Sales, CS, Product, Finance, and Executive teams. Translate business requirements to data models, dashboards, and insights. Build a Commercial Analytics roadmap. Hire and scale an analytics & BI team.