Data Analyst

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Analyst HQ - San Francisco, CA | Hybrid | Remote ABOUT NUMERAL: - Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 50+ countries. We're eliminating this burden so teams can focus on their core mission. - We're the largest and fastest growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 2,500 paying customers and have more than tripled our revenue every year in our history. - We're primarily hiring in our SF and NY offices, but do hire remotely in some cases WHAT YOU'LL DO: - 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 WHAT YOU'LL BRING: - 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

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