Senior Analytics Engineer, Finance

Rozgoo; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Equity

Learning & development

Flexible PTO

Wellness stipend

Job summary

Checkr is seeking a Senior Analytics Engineer (Finance) to own data models, pipelines, and governance for finance metrics. You will transform ERP and operational data into decision-ready assets, collaborating with FP&A, Accounting, and Finance leadership.

You’ll work with Looker and Omni, ensure audit-ready data contracts, and help drive AI-powered improvements across the analytics stack. This role sits in the Finance data platform team.

Qualifications

• 5+ years in Analytics Engineering, Data Engineering, or Data Analyst roles with Finance exposure.
• Expert SQL and production-grade data models and pipelines.
• Experience modeling ERP data (NetSuite/Oracle) and finance concepts (GL, revenue, COGS, margin).
• Experience with Looker, Omni; ability to design scalable semantic layers.
• Strong communication; translating Finance needs into technical solutions.
• Nice-to-have: dbt and Snowflake; interest in AI-powered tooling.

Responsibilities

• Design, build, and maintain scalable data models and pipelines for revenue, ledger, COGS, margin, and forecasts.
• Partner with FP&A, Accounting, and Finance to translate questions into reusable data products.
• Own data contracts and quality checks for finance datasets, ensuring audit-ready governance.
• Model data from ERP systems and integrate with operational sources for a unified finance view.
• Drive adoption of AI-powered workflows and strengthen documentation and lineage.
• Collaborate with Data Engineering to evolve the data platform and best practices.

Skills

SQL

Data modeling

ERP data

Finance knowledge

Communication

dbt

Snowflake

Looker

Omni

Tools

Looker

Omni

dbt

Snowflake

Job description

About Checkr
Checkr is building the data platform to power safe and fair decisions. Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including Amazon, DoorDash, Netflix, Kimpton, and Anthropic.

We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

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&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.

What you'll do

• Design, build, and maintain scalable data models and pipelines that support revenue reconciliation, ledger integrity, COGS and margin analysis, and forecast model inputs
• Partner directly with FP&A, Accounting, and broader Finance stakeholders to translate business questions into well-governed, reusable data products in Looker and Omni
• Own the data contracts and quality checks for finance-critical datasets, establishing governance standards that make numbers audit-ready and trusted across the company
• 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
• Drive adoption of AI-powered workflows and tooling within the analytics engineering stack to accelerate pipeline development, documentation, and stakeholder self-service
• Partner with Data Engineering peers to evolve Checkr's modern data platform, championing best practices in testing, documentation, and lineage

What you bring

• 5+ years of experience in an Analytics Engineering, Data Engineering, or Data Analyst role, ideally with meaningful exposure to Finance or Accounting stakeholders
• Expert SQL and strong experience building production-grade data models and pipelines
• Hands-on experience modeling data from ERP systems such as NetSuite, Oracle or similar, and strong familiarity with financial concepts like GL, revenue recognition, COGS, and margin
• Experience with BI and modeling tools such as Looker and Omni, and the ability to design semantic layers that scale with stakeholder needs
• Excellent communication skills and a track record of translating ambiguous Finance requirements into technical solutions
• Experience with dbt and Snowflake, and enthusiasm for working with AI-powered development tools, is a strong plus
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

What you'll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Pay Transparency Disclosure

We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote