Senior Data Analyst (Product Analyst)
Role Overview
The Senior Data Analyst joins the Data & Analytics team and turns product and business data into insights for product strategy, growth, and customer experience.
The role partners with Product, Engineering, Design, Marketing, and Leadership to define metrics, measure impact, identify opportunities, and support experimentation.
The analyst also works with engineering on event tracking, data integration, and analytics quality and accessibility.
Key Skills for This Role
Full Job Posting
About Thunkable
Thunkable is a no-code and AI platform for designing, developing, and deploying native mobile applications.
The company says its platform supports users in 184 countries and is backed by Lightspeed, NEA, Owl Ventures, SV Angel, and Y Combinator.
Role overview
The Senior Data Analyst joins the Data & Analytics team and turns product and business data into insights for product strategy, growth, and customer experience.
The role partners with Product, Engineering, Design, Marketing, and Leadership to define metrics, measure impact, identify opportunities, and support experimentation.
The analyst also works with engineering on event tracking, data integration, and analytics quality and accessibility.
Responsibilities
- Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and inform business decisions with data.
- Lead end-to-end product and growth analyses, including funnels, cohorts, retention, segmentation, monetization, and experimentation.
- Define success metrics and evaluate features, experiments, and product initiatives.
- Build dashboards, recurring reports, and self-service analytics.
- Collaborate with engineers on product event tracking in React-based interfaces, including design, implementation, validation, and maintenance.
- Troubleshoot tracking issues and improve data reliability.
- Unify data from sources such as Amplitude, Google Ads, Meta Ads, payment systems, and CRM.
- Document metrics, tracking plans, and data definitions.
Required qualifications
- BA/BS degree or above in a related field, or equivalent experience.
- At least 3 years in data science, analytics, or another quantitative role, with a record of delivered analytics projects.
- Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
- Experience with event tracking instrumentation and engineering collaboration to validate and maintain analytics implementations.
- Experience handling real-time and historical data, including cleaning, processing, analysis, modeling, insight delivery, and execution strategy.
- Experience with querying and statistical programming tools such as SQL, R, or Python.
- Experience with product and marketing analytics tools such as Amplitude or Google Analytics.
- Strong analytical and problem-solving skills, attention to detail, communication, visualization, and storytelling.
Preferred qualifications
- Experience improving data pipelines, data storage, and analytical frameworks is preferred.
- Experience with event tracking tools such as JavaScript or Google Tag Manager is preferred.
Workplace
- The company advertises global remote flexibility.
Benefits
- The company lists competitive compensation and equity, unlimited paid time off, health and wellness benefits, and a training budget.
Hiring process
- The company may use AI tools to assist with application review, but final hiring decisions are made by humans.
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