Senior Data Analytics Engineer

Senior Data Analytics Engineer

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000's fastest-growing private companies in America of 2023, 2022, and 2021, Forbes Fintech 50 List for 2023, 22, 21, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We're a profitable company, that's changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. We are proud to be the largest online insurance distribution and comparison platform in the USA.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team's success.

How you will make an impact:

• Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact
• Solve high velocity, high impact analytics problems
• Scale the business using data
• Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
• Build scalable data infrastructure that solves real problems

Sample projects:

• Operate and improve a data product to serve evolving business needs
• Refactor data system to scale with increased volume and new requirements
• Build new data pipelines to support tracking of new business initiatives
• Champion usage of new tools and systems to improve team processes
• Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
• Perform customer segmentation analysis to discover where to improve Insurify products
• Improve alerting systems to help us triage data quality issues at scale

Key Skills + Background:

• 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)
• Expertise in and real-world experience with SQL
• Exposure to data warehousing and ETL concepts
• Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good
• Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
• Quick learning ability and a drive suitable for the startup hustle.
• A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!

Benefits:

• Employee stock options
• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Employee Assistance Program and other wellbeing perks
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office

We are proud to be an Equal Employment Opportunity and Affirmative Action employer.