Senior Data Analytics Engineer

Insurify· Sofia, Bulgaria· greenhouse· veröffentlicht 11.09.2025
Muss:PythonRustRubyDataFinTechLeadHybrid

Why us?

Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

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.