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Insurify is a fast-growing fintech startup recognized as one of America's fastest-growing MIT FinTech companies and a Forbes Fintech 50 honoree. The company is transforming insurance comparison, purchase, and management through AI, technology, and superior product design.
As a Senior Data Analytics Engineer, you will lead cross-functional projects from ideation to execution with high independence and impact. You'll solve high-velocity, high-impact analytics problems and scale the business using data.
Key responsibilities include:
- Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
- Build scalable data infrastructure that solves real business problems
- Operate and improve data products to serve evolving business needs
- Refactor data systems to scale with increased volume and new requirements
- Build new data pipelines to support tracking of new business initiatives
- Champion adoption of new tools and systems to improve team processes
- Improve prediction accuracy of customer acquisition machine-learning bidding algorithms
- Perform customer segmentation analysis to discover product improvement opportunities
- Improve alerting systems to help triage data quality issues at scale
Required qualifications:
- 3-4 years of experience in Analytics, Data Engineering, Data Science, or Data Analysis roles
- Expertise in SQL with real-world application
- Exposure to data warehousing and ETL concepts
- Strong quantitative and programming skills in Python (preferred), R, Rust, Go, Ruby, or C++
- Bachelor's or Master's degree in Mathematics, Engineering, Computer Science, Economics, or related technical field
- Quick learning ability and startup hustle mentality
- Positive team player with strong work ethic and ability to pivot between projects
The role offers employee stock options, 25 days annual leave, enhanced medical/dental/vision insurance, yearly wellbeing budget, personal learning budget, and a hybrid work arrangement in Sofia.