Data Analyst

Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 50+ countries. We’re eliminating this burden so teams can focus on their core mission.

We’re the largest and fastest growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 2,500 paying customers and have more than tripled our revenue every year in our history.

We’re primarily hiring in our SF and NY offices, but do hire remotely in some cases

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

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

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