Numeral is building the automation backbone for internet commerce, starting with sales tax compliance, to eliminate administrative and accounting burdens that distract businesses from doing what they love. The Data Analyst role is critical in reconciling customer data, improving data quality, and making the platform smarter and more scalable.
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)
- 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)
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
- 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
- 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
Other
- 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
- 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.
