Sr. Data Analyst

Role Overview

Thunkable is seeking a Senior Data Analyst to join the Data & Analytics team. You’ll bridge analytics and data foundations—analyzing data to generate insights while also improving how data is collected, organized, and kept reliable across multiple systems.

Responsibilities

• Collaborate with engineers to add, validate, and maintain event tracking in React-based interfaces.
• Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
• Translate business requirements with cross-functional teams into scalable data architecture and process improvements (e.g., integration, automation, efficient data flow) across systems like Google Ads, Meta Ads, payment systems, and Amplitude.
• Document data architecture, key components, and data flows.
• Query and analyze data from Amplitude and other SQL/NoSQL systems in the current data ecosystem.
• Conduct product and marketing analyses, including:
  • Funnels
  • Cohort analyses
  • User segmentation
• Develop and monitor key metrics, including automated dashboards and recurring reports.
• Lead data initiatives and experimentation, defining measurement approaches and evaluating success.

Required Qualifications

• BA/BS or higher (or equivalent experience).
• 3+ years in data science, data analytics, or other quantitative roles, with a track record of delivering analytics projects.
• Experience building/maintaining data pipelines and integrations across multiple systems (e.g., Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
• Experience with event tracking instrumentation and partnering with engineering to validate/maintain analytics implementations.
• Ability to work with real-time and historical data, including cleaning, processing, analysis, modeling, and insights delivery.
• Proficiency with SQL and statistical programming tools such as R and/or Python.
• Experience with product and marketing analytics (e.g., Amplitude, Google Analytics).
• Strong analytical/problem-solving skills and attention to detail.
• Ability to communicate complex analyses via visualization and storytelling to technical and non-technical audiences.
• Self-starter who thrives in a startup environment.

Preferred Qualifications

• Experience improving data pipelines, data storage, and analytical frameworks.
• Event tracking experience (e.g., JavaScript, Google Tag Manager).
• JavaScript and React experience.