Data Analyst

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, Numeral 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
• Startup mindset: Not scared of ambiguity and hungry for rapid growth
• 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