Senior Analytics Engineer, Finance
$155k - $235k • Remote • New York • FullTime
Posted 2mo ago
About the job
Harvey is seeking a versatile Senior Analytics Engineer to partner closely with the Finance team to build the financial data foundation that drives decision-making. As demand surges, you will design clean, reliable pipelines and semantic data models to transform source data into usable insights. You will help evolve the data stack, champion best practices in testing and documentation, and collaborate with product, finance, and leadership to ensure teams can answer their own questions with confidence. This role is ideal for someone who combines engineering rigor with a love of storytelling through data.
Responsibilities
- Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets for financial analytics and decision-making.
- Define and implement a robust semantic layer to standardize financial and operating metrics.
- Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive dashboards and analytical tools.
- Establish and champion data modeling standards and best practices for accuracy, performance, usability, and maintainability.
- Lead data governance initiatives to ensure data quality, consistency, documentation, and access control.
- Structure financial metric definitions, business logic, and accounting context to support AI-assisted reporting and analytics.
Requirements
- 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
- Deep expertise in SQL, dbt, Python, and Snowflake.
- Experience with modern BI tools like Looker/Omni, or similar.
- Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies.
- Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
- Bias for action, preferring iterative data models that deliver immediate value.
- Strong communication skills to build trusted partnerships across teams.
- Comfortable working through ambiguity in fast-moving, cross-functional environments.
- Balances big-picture thinking with precision in execution.
- Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.
- Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.