Data Analyst
US$90,000 – US$140,000 / yr base salary
Posted 28 Sep 2026
Advertised as “Senior Data Analyst (Product Analyst)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$90,000 – US$140,000 / yr |
|---|
Study levelBachelor's
About Thunkable
Thunkable is the leading no-code and AI platform that empowers anyone to design, develop, and deploy powerful, native mobile applications without writing a single line of code. Our mission is to make app development accessible to everyone—transforming passive consumers into active creators of technology.
Founded in 2016 by Arun Saigal and Weihua Li, former members of the MIT App Inventor and MIT Scratch team, Thunkable now supports millions of users across 184 countries, including a quarter of Fortune 500 companies. We’re backed by Lightspeed, NEA, Owl Ventures, SV Angel, and Y Combinator.
Role Overview
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team. In this role, you'll turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.
Beyond analysis, you'll help improve the quality and accessibility of our data by working with engineering on event tracking, integrating data from multiple systems, and ensuring our analytics foundation supports better decision-making across the business.
Key Responsibilities
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Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.
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Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.
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Define success metrics and evaluate the impact of new features, experiments, and product initiatives.
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Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.
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Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.
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Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
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Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.
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Document key metrics, tracking plans, and data definitions to improve organizational understanding.
Required Qualifications
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BA/BS degree or above in a related field or equivalent experience required.