Senior Analytics Engineer, Finance

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We are looking for a Senior Analytics Engineer, Finance to join our Data team. You will serve as the primary technical owner of our financial data infrastructure, building the pipelines, models, and reporting systems that power decision-making across the organization. This is a hands-on engineering role with significant business partnership: you will design and maintain the data layer that Finance, Marketing, and Leadership rely on, while helping scale our analytics capabilities as Prenuvo grows.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You'll Do

• Financial Data Infrastructure: Design, build, and maintain data pipelines and dbt models that power financial reporting. Establish standards for data quality, documentation, and testing that enable accurate, auditable outputs across Databricks, Sigma, and downstream systems.
• Revenue & Reconciliation Systems: Develop and own data workflows for revenue recognition, deferred revenue, discounts, and program activity. Ensure alignment between operational data sources (NetSuite, Salesforce, Stripe) and accounting principles.
• Data Modeling & Architecture: Build dimensional models for financial reporting, including bookings analysis, cohort retention, channel attribution, and marketing spend. Evolve our dbt project structure and conventions to support scalability and maintainability.
• BI Enablement: Partner with Finance and Marketing to build foundational dashboards in Sigma, then enable those teams to self-serve on ongoing reporting needs. The goal is teaching stakeholders to fish, not becoming the dashboard team.
• Data Quality & Governance: Implement validation frameworks, automated testing, and monitoring to minimize reporting errors. Ensure financial data is trusted and auditable across teams.
• Cross-Functional Partnership: Translate between technical and business stakeholders to define KPIs, document business logic, and ensure consistency across reporting layers. Serve as the data subject matter expert for finance-related questions.

What You’ll Bring

• Experience: 5-7 years in analytics engineering, data engineering, or related roles with significant exposure to financial data and reporting systems. Experience operating as the primary owner of a data domain with minimal oversight.
• dbt Proficiency: Production experience with dbt is required. You should be able to describe your approach to project structure, testing strategies, and documentation conventions. We have hundreds of models in this framework and need someone who can contribute immediately.
• SQL & Python: Strong SQL skills including window functions, CTEs, and complex joins. Functional Python proficiency for data transformation, automation, and pipeline development.
• Cloud Data Warehouses: Hands-on experience with Snowflake, Databricks, BigQuery, or similar columnar data platforms. You understand the differences between transactional databases and analytical warehouses.
• Data Integration: Familiarity with ingestion tools (Fivetran, Airbyte, or similar) and orchestration patterns. Experience working with financial source systems such as NetSuite, Salesforce, Stripe, or similar ERP/CRM platforms.
• Finance Acumen: Solid understanding of accounting concepts (revenue recognition, deferred revenue, cash reconciliation) and the rigor required when working with financial data. You do not need to be an accountant, but you should be comfortable translating business requirements into accurate data models.
• Communication: Ability to partner effectively with Finance, Marketing, and executive stakeholders. You can explain technical decisions in business terms and push back constructively when requirements are unclear.

Nice to Have

• Experience with Sigma, Looker, or similar BI tools
• Background in health tech, e-commerce, or subscri