SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Chalk is a data platform for machine learning applications, recently raised $50M Series A led by Felicis. The company helps leading organizations with fraud detection, identity verification, and clean energy optimization by providing high-performance, developer-friendly ML infrastructure.
As Senior Data Analyst, you will build the trusted data foundation that powers Chalk's business operations. This is a hands-on role reporting to leadership and partnering closely with Revenue, Finance, Product, Engineering, and executive teams.
Key responsibilities include:
- Design and build production-grade data models unifying CRM, contracts, billing, finance, and product telemetry into a single source of truth.
- Define comprehensive GTM metrics spanning pipeline, conversion, bookings, ARR, forecast accuracy, retention, and expansion.
- Create finance and billing reporting that reconciles contracts, usage, invoices, payments, credits, and general ledger entries.
- Establish product metrics for activation, adoption, engagement, retention, and time-to-value.
- Connect product usage data to commercial outcomes, customer health, infrastructure costs, and gross margin.
- Automate recurring reporting workflows and replace spreadsheet-heavy processes with reliable self-service data products.
- Partner with Product and Engineering teams to improve data instrumentation and define success metrics for new feature launches.
- Establish testing, documentation, lineage, and data-quality standards for business-critical datasets.
You bring 4+ years of analytics engineering, data engineering, business intelligence, or related experience. You have advanced SQL skills and hands-on experience building modular, tested data models using dbt or equivalent frameworks. Python proficiency is ideal. You have proven experience with B2B SaaS GTM data, billing/finance workflows, and product-event analytics. You excel at reconciling inconsistent systems, creating trusted metric definitions, and communicating complex data insights. You thrive in ambiguous, fast-moving environments and own problems end-to-end.
The role is in-office in San Francisco, 5 days per week, with flexibility for unavoidable conflicts.