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Chalk

Analytics Engineer

SF$170k–$210kfulltimemidAdded today

About this role

Chalk is seeking a Data Engineer to build the internal data foundation supporting GTM, finance, product, and business operations. You'll design production data models, define key metrics across revenue and product domains, and create self-service reporting that unifies CRM, billing, usage, and financial systems.

What you'll do

  • Build production data models integrating CRM, contracts, billing, finance, and product telemetry
  • Define and maintain GTM metrics including pipeline, conversion, ARR, forecast accuracy, and retention
  • Create finance and billing reports reconciling contracts, invoices, payments, credits, and the general ledger
  • Define product metrics for activation, adoption, engagement, and time-to-value
  • Establish data quality standards, testing, documentation, and lineage for business-critical datasets
  • Automate recurring reporting and replace spreadsheet workflows with reliable self-service data products

What they're looking for

  • Advanced SQL
  • dbt or comparable data modeling framework
  • Python (ideally)
  • B2B SaaS GTM analytics
  • Billing and finance data workflows
  • Product event instrumentation and analysis
  • Data quality and testing practices
  • Cross-functional stakeholder communication
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Chalk

Chalk builds a machine learning data platform that powers ML applications at scale with developer-friendly tools and infrastructure. The company is hiring full-stack engineers, frontend engineers, infrastructure engineers, backend engineers, and a content lead to build and expand their Rust-powered platform across distributed systems, cloud infrastructure, and developer experience.

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Likely interview questions

  • Walk us through a complex data reconciliation problem you've solved—how did you identify inconsistencies across systems?
  • Describe your experience building metrics definitions in a B2B SaaS environment. How did you ensure alignment across teams?
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