Job description

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)

Requirements

Must-haves

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.
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.

Nice-to-haves

Experience with improving data pipelines, data storage and analytical frameworks.
Event tracking (eg. Javascript, Google tag manager)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaccessibilityreactsqlpythonjavascript

Platform: lever
Effort: quick