Data Analyst

Raya • Full-time • San Francisco Bay Area, US • 2d ago

Our client, a hyper-growth, well-funded AI company, is hiring a Sr. Data Scientist. The company is backed by Mayfield, Benchmark, and YC. They have been growing 3.5x year over year and have over 100 employees.

What you'll do:

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings
Normalize customer data across platforms (e.g. Stripe, Shopify, our API) to ensure integrity in tax workflows
Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues
Support our customer-facing teams with ad hoc data questions, investigations, and insights
Build internal tooling and processes to streamline reconciliation and improve onboarding throughput
Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

What you'll bring

Proficient in SQL and Excel / Google Sheets
Strong analytical and pattern recognition skills across large, messy, or multi-source datasets
Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)
Strong problem-solving skills and ability to operate with autonomy in fast-moving environments
Clear communicator with high attention to detail and a collaborative mindset
Intensity & Ownership: This is not a 9-5 — we’re scaling rapidly and have a massive opportunity ahead of us.
Customer Obsession: You deeply care about the user experience and solving their problems

Even better:

Experience with DBT or similar ETL frameworks
Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB
Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)
Prior exposure to tax, compliance, or accounting-related data
A background in operations, finance, or technical customer success