Data Analyst

Numeral; San Francisco (CA); Remote; USD 80,000 - 110,000; Full time

Benefits offered by this job

Flexible, remote-first culture

Strong mentorship opportunities

Ownership in shaping company operations

Job summary

A promising fintech startup is seeking a Data Analyst to enhance data quality and support operations. The role involves reconciling financial data and collaborating with multiple teams. Ideal candidates will have strong SQL and analytical skills, with experience in e-commerce or payments. Join a flexible, remote-first team focused on shaping the future of compliance!

Qualifications

• Proficient in SQL and Excel / Google Sheets.
• Strong analytical and pattern recognition skills across large, messy datasets.
• Experience reconciling financial or transactional data in an e-commerce environment.

Responsibilities

• Reconcile financial and transactional data from multiple sources.
• Normalize customer data across platforms to ensure integrity.
• Partner with teams to troubleshoot and resolve onboarding data issues.

Skills

Proficient in SQL and Excel / Google Sheets

Strong analytical and pattern recognition

Experience reconciling financial or transactional data

Strong problem-solving skills

Clear communicator with attention to detail

Tools

DBT

ETL frameworks

Job description

About NumeralHQ

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 border-line 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.

Mission

Running 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

Qualifications:

• 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

Bonus Points For:

• 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

Why Join Us?

• 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.