Business Data Analyst driving data analysis and mapping in large - scale applications for the insurance domain. Collaborating with technical and business teams while ensuring data quality and standardization.
About the role
- Senior Data Analyst bridging analytics and data foundations at Thunkable. Analyze data, connect multiple sources, and uncover actionable insights for the no-code app development platform.
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.
Requirements
- 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.
Benefits
- 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
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