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Senior Data Analyst (Product Analyst)

San Francisco, CA

Pay
USD 90,000–140,000/year — pay source
Salary 90,000 – 140,000 USD per year Employment type
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Work setup
Unconfirmed
Employment
Full-time — employment source
Employment type Full-time
Read the full posting
Apply at Thunkable

What you’ll work on

Full posting

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team.

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.

  • You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.

  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

From the employer’s posting
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.
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 Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data. Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.
Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data. Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation. Define success metrics and evaluate the impact of new features, experiments, and product initiatives.

What you’ll bring

All qualifications

Core experience

  • 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
  • Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
  • Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
  • Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

Preferred experience

  • Experience with improving data pipelines, data storage and analytical frameworks.
Qualification wording
3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)
Experience with improving data pipelines, data storage and analytical frameworks.

Tools in this posting

  • JavaScript
  • Python
  • R
  • SQL
Source — Tool mentions in context
- Experience with improving data pipelines, data storage and analytical frameworks. - Event tracking (eg. Javascript, Google tag manager) Life at Thunkable
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy. - Experience in data queries and statistical programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

About Thunkable

Our mission is to make app development accessible to everyone—transforming passive consumers into active creators of technology.

In the employer’s words · Read in context

Job description

View original posting ↗

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

  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

  • Define success metrics and evaluate the impact of new features, experiments, and product initiatives.

  • Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.

  • Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.

  • Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.

  • Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.

  • Document key metrics, tracking plans, and data definitions to improve organizational understanding.

 

 

Required Qualifications

  • BA/BS degree or above in a related field or equivalent experience required.

  • 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.

  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.

  • Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.

  • Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.

  • Experience in data queries and statistical programming tools (SQL, R, Python, etc.)

  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

  • You have strong analytical and problem-solving skills, with a keen attention to detail.

  • You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.

  • You are a self-starter who thrives in a start-up environment and has a strong follow-through.

 

 

Preferred Qualifications

  • Experience with improving data pipelines, data storage and analytical frameworks.

  • Event tracking (eg. Javascript, Google tag manager)

Life at Thunkable

Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.

Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.

What You’ll Get:

  • Competitive compensation, equity, and unlimited PTO

  • Health, wellness, and training budget

  • Global remote flexibility

  • The opportunity to directly influence the future of no-code and AI-driven app development

Salary

90,000 – 140,000 USD per year

Employment type

Full-time

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
Salary 90,000 – 140,000 USD per year Employment type
Location & working pattern

San Francisco, CA

- Health, wellness, and training budget - Global remote flexibility - The opportunity to directly influence the future of no-code and AI-driven app development
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Oct 1, 2026
Recorded sightings
3
Last seen by us
Oct 7, 2026
Employer says posted
Sep 28, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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