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Data Analyst
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Job Description
Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.
We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention.
Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.
MissionRunning an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.
We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.
About the role:As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations—playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences.
This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes.
Responsibilities: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
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
Be a core builder in an ambitious, globally minded startup.
Learn hands-on how to scale international compliance systems.
Work across functions and with leadership early in your career.
Make a visible impact immediately through enablement and operational design.
Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.
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