Sr. 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

Senior 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

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Where they hire

State eligibility is not yet verified.

About this role

Sr. Data Analyst San Francisco, CA Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you'll not only analyze data to generate insights but also help connect and organize data from multiple sources-such as product analytics, marketing platforms, payments, and user systems-into a more complete and reliable view. We're looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product. Key Responsibilities - Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces. - Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity. - Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration, automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem. - Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights. - Develop and monitor key metrics, including setting up automated dashboards and recurring reports. - Lead data initiatives and experimentation, defining measurement approaches and

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