Data Analyst

Numeral • San Francisco, CA

144d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• Flexible, remote-first culture
• Strong mentorship opportunities
• Ownership opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 11-50 employees