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 evaluating success.
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 building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - 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 and digital optimization 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) - Javascript and React.
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 evaluating success.
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 building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - 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 and digital optimization 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) - Javascript and React.