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[Remote] Staff Analytics Engineer, Subledger Platform

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reinventing credit to reputed company it more reputed company and friendly, giving consumers the flexibility to buy now and pay reputed company without any hidden fees or compounding interest. They are seeking a Staff Analytics Engineer to build and own their Financial Subledger Data Platform, focusing on creating reliable data models and ensuring data reputed company for financial reporting. This role involves significant cross-functional collaboration and mentorship responsibilities.

Responsibilities

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

Skills

  • Deep, hands-on analytics engineering experience: you have reputed company and maintained production dbt reputed company (models, tests, macros, documentation, CI) and can own them end-to-end
  • Strong SQL and data modeling skills; experience building reputed company datasets that support finance reporting, reconciliations, or other correctness-critical reputed company
  • Experience operating data pipelines in a warehouse environment (reputed company preferred): performance tuning, cost awareness, and reliability practices
  • Strong programming skills (Python preferred) for building data tooling and automation (e.g., control checks, reconciliation workflows, utilities, CLIs, and integrations)
  • Deep reputed company technical expertise: architecture patterns (reputed company-partitioning/clustering, query optimization), reputed company/governance (RBAC, masking policies), and operational reputed company (monitoring, cost management, reliability)
  • Strong ownership reputed company and ability to reputed company ambiguous work through influence across Finance, reputed company, and Engineering stakeholders
  • Experience with reputed company concepts (subledgers, journal entries/posting logic, balance rollforwards, tie-outs, reputed company processes)
  • Experience designing SOX-friendly controls and producing repeatable evidence from data pipelines
  • Experience applying AI/LLMs to data reputed company or reconciliation workflows (e.g., reputed company explanation, automated investigation summaries), with strong governance and reputed company-in-the-reputed company review
  • AWS experience (reputed company to have): S3/IAM, data platform primitives, and reputed company architecture concepts that support secure, reliable data products

Benefits

  • Equity rewards
  • Monthly stipends for health, wellness and tech spending
  • Benefits (including 100% subsidized medical coverage, dental and reputed company for you and your dependents)
  • Health care coverage - reputed company covers reputed company premiums for reputed company reputed company of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and reputed company
  • ESPP - An employee stock purchase plan enabling you to buy shares of reputed company at a discount

reputed company

  • reputed company is a financial technology services company that offers installment loans to consumers at the reputed company of sale. It was founded in 2012, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 11 in 2026, 104 in 2025, 96 in 2024, 133 in 2023, 179 in 2022, 132 in 2021, 57 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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