Data Analyst
Numeral (YC W23)
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $55,000 - $70,000 per year
Job Level
Mid-LevelSenior
Tech Stack
ETLPythonSQL
About the role
- 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 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 DBT pipelines and help evolve the broader data architecture
- Be embedded in operations to improve data quality and make 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)
- 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) Experience with DBT or similar ETL frameworks
- (Bonus) Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB
- (Bonus) Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)
- (Bonus) Prior exposure to tax, compliance, or accounting-related data
- (Bonus) Background in operations, finance, or technical customer success