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Senior Data Analytics Engineer

Insurify insurify.com Open · verified Oct 24, 2026
Sofia Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Insurify. Sofia.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SenioritySenior
LocationSofia
PostedSep 11, 2025 · 1y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead cross-team projects independently, taking analytics work from early ideas through delivery
  • Use SQL and Python across analytics engineering, business analysis and data science work
  • Build data infrastructure and pipelines that handle new initiatives, rising volume and changing needs
  • Improve data products, quality alerts and customer acquisition bidding predictions
  • Analyze customer groups to find opportunities to improve products

What you bring

  • Three to four years in analytics or a closely related data engineering, science or analysis role, with evidence of results
  • Strong practical SQL skills and familiarity with data warehousing and ETL
  • Quantitative and programming ability, with Python preferred or another listed language
  • A bachelor's or master's degree in a technical subject such as mathematics, engineering or computer science

Who this fits

This senior role suits someone who can work independently across analytics engineering, business analysis and data science, and shift between projects. The role is based in Sofia, Bulgaria, with a hybrid office arrangement.

From the employer

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.
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.