As Business Intelligence Engineer, you will have end-to-end ownership of data analytics and insights that drive product and business decisions for the FinAuto team. In this role, you will partner with product managers, engineers, technical program managers, and business stakeholders to establish data-driven entitlements, build scalable analytics solutions, and deliver actionable insights that optimize financial automation processes.



Key job responsibilities
Analytics Leadership:

Listen to and advocate for data-driven decision making across the organization

Define and prioritize the analytics roadmap (metrics, dashboards, deep-dive analyses, self-service tools)

Contribute to product discovery via scenario analysis, entitlement studies, and exploratory data analysis

Develop metrics frameworks, KPI definitions, and measurement strategies

Ensure data alignment and consistency across all teams and reporting layers

Technical Execution:

Design and build scalable data pipelines, ETL processes, and data models

Develop automated dashboards and self-service analytics tools for stakeholders

Conduct deep-dive analyses including root-cause analysis, bridges, and loss attribution

Partner with data engineering teams on data quality, schema design, and infrastructure decisions

Perform statistical analysis and modeling to identify trends, anomalies, and optimization opportunities

Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences