Staff Analytics Engineer

About

We’re looking for a Staff Analytics Engineer to build and own our Financial Subledger Data Platform—the canonical set of dbt models, governed datasets, and control frameworks that transform operational/ledger events into trusted, explainable, accounting-ready outputs.

This is a senior hands-on role: you will write and ship production dbt code yourself (models, tests, docs), set standards for the platform, and directly manage and mentor one Analytics Engineer as a player/coach.

This role operates with high autonomy and significant cross-functional partnership across Accounting, Financial Reporting, Financial Systems, and upstream product engineering teams.

We want someone who can maintain and harden today’s platform while also giving us flexibility to adopt new technologies (e.g. , evolving warehouse patterns, new table formats, catalog/governance tooling, orchestration approaches) as our subledger and control needs scale.

Responsibilities

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns
• Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness
• Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts
• Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs
• Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets
• Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own
• Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management
• Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction

Benefits

• Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
• Supportive Communities: Get involved with our employee resource groups and community groups
• Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
• Generous Time Off: Take the time you need when life happens
• Health Benefits: Get a plan that fits your needs
• Mental Healthcare: Take care of your mind with great mental health programs
• Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
• Learning & Development: Engage in exciting learning programs to level up your growth