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Data Analyst

Numeral

HQFull-timeNo compensation foundTracked 4 days agoVerified open 4 days ago

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At a glance

Compensation
No compensation found
Location
HQ
Schedule
Full-time
Work Authorization
Not specified

Job overview

Numeral is an AI-native tax solution transforming tax compliance for digital businesses across the US and globally. The company, backed by major investors, is rapidly growing and seeks a Data Analyst to reconcile and normalize financial data, build tooling, improve DBT pipelines, and support cross‑functional teams.

Skills & qualifications

RequiredNice to have

Skills

SQLExcelGoogle SheetsAnalytical SkillsPattern RecognitionProblem SolvingClear CommunicationStartup MindsetIntensity & OwnershipCustomer ObsessionDBTStripeShopifyFivetranParquetS3DuckDBREST APIsPythonTax DataCompliance DataAccounting DataOperationsFinanceTechnical Customer Success

Qualifications

Experience Reconciling Financial or Transactional Data

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

About Numeral:

  • 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

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

What we offer:

  • Competitive salary and equity - you’ll share directly in the company’s success

  • Full medical, dental, and vision coverage

  • Wellness perks like Headspace and the Peloton One App

  • 401(k) to help you build long-term financial security

  • Lunch and snacks when you’re in the office

  • Regular team offsites and company events as we grow

  • A culture built on ownership - your work matters and people will see it!

You've read the whole posting — now see how you match it.