Senior Analytics Engineer, Finance

<div class="content-intro"><p><span style="font-weight: 400;"><strong>About Checkr<br></strong></span>Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.<br><br>We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on <a href="https://www.forbes.com/lists/cloud100/" target="_blank">Forbes Cloud 100 2025 List</a> and is a Y Combinator 2024 <a href="https://www.ycombinator.com/blog/yc-top-companies-2024">Breakthrough Company</a>.</p></div><p>Reporting to the Data Engineering Manager, the Senior Analytics Engineer (Finance) will be the dedicated data partner for Checkr's Finance organization, owning the models, pipelines, and governance that power how we measure and forecast the business. You will build and maintain the trusted data layer for ledgers, revenue reconciliation, COGS and margin analysis, and forecast model inputs — turning raw ERP and operational data into decision-ready assets. You'll work hand-in-hand with FP&amp;A, Accounting, and Finance leadership, while helping shape one of Checkr's most exciting data platforms alongside a team that's actively building with the latest AI tooling.</p> <p><strong>What you'll do</strong></p> <ul> <li>Design, build, and maintain scalable data models and pipelines that support revenue reconciliation, ledger integrity, COGS and margin analysis, and forecast model inputs</li> <li>Partner directly with FP&amp;A, Accounting, and broader Finance stakeholders to translate business questions into well-governed, reusable data products in Looker and Omni</li> <li>Own the data contracts and quality checks for finance-critical datasets, establishing governance standards that make numbers audit-ready and trusted across the company</li> <li>Model data out of ERP systems (NetSuite, Oracle, and similar) and integrate it with operational sources to produce a unified financial view of the business</li> <li>Drive adoption of AI-powered workflows and tooling within the analytics engineering stack to accelerate pipeline development, documentation, and stakeholder self-service</li> <li>Partner with Data Engineering peers to evolve Checkr's modern data platform, championing best practices in testing, documentation, and lineage</li> </ul> <p><strong>What you bring</strong></p> <ul> <li>5+ years of experience in an Analytics Engineering, Data Engineering