Business Analyst

Business Data Analyst

Cambridge, MA - Hybrid

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 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.

Join us if you like

• $1.3 Trillion market opportunity
• MIT alumni founders
• Female-led startup
• $130M total funding
• Strong leadership team with experience from many successful startups around the world

Insurify is looking for several Business Data Analysts to be a part of a rotational analytics program. Analysts will have the opportunity to work within our Marketing, Analytics, and Engineering teams to solve cross-functional, high velocity, high impact analytics problems and scale the business using data. This will include a mix of business analytics, analytics engineering, and data science using SQL and Python.

This role is about using data to make our company better across all areas of the business, so we want people who are excited to tackle a wide range of structured and unstructured problems using data! Solutions do not come in neat boxes.

Sample projects:

• Analyze a novel dataset to recommend areas for the business to improve
• Operate and improve a core data product optimizing for multiple competing KPIs
• Build new data pipelines to support tracking of a new business initiative
• Innovate data modeling and data presentation to drive business understanding
• Improve prediction accuracy of our customer acquisition machine learning bidding algorithms
• Build reports and dashboards to help power the company's decision making
• Do customer segmentation analysis to discover where to improve Insurify products

Key skills:

• Bachelors in computer science, analytics, economics, or other STEM major required. Masters preferred.
• Strong quantitative and programming skills with a product-driven sensibility.
• Quick learning ability and a drive suitable for the startup hustle.
• A friendly cooperative disposition and an eagerness to learn
• Python (preferred) or R.
• 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!
• Expertise in and real-world experience with SQL.

Nice to have skills:

• Website tracking. HTML, Javascript, website tracking analytics, pixel and event tracking
• Familiarity with production data systems, big data, Apache Spark, dbt, and SQL
• R, C++, C#, Javascript
• Any domain specific experience relevant to Marketing, SEO, Retention, Product
• Knowledge of statistics
• Experience in data analysis in consumer / retail / e-Commerce / SaaS

Benefits:

• Competitive compensation
• Generous stock options
• Health, Dental Coverages
• 401K plan with match
• Unlimited PTO
• Generous company holiday calendar
• Learning & Development Stipends
• Paid Family Leave
• Social impact volunteer time
• Catered lunches in the office

Insurify is committed to offering a fair, competitive, and transparent compensation program that supports our mission to attract, retain, and motivate top talent. Our compensation philosophy is guided by several factors including a candidate's relevant experience, education/training, job-related skills, and location.

In addition to the base salary our total compensation package includes health coverage, retirement contributions, and additional wellbeing benefits. Some positions may be eligible for company equity.

Below is the base compensation range for US locations:

$75,000-$90,000

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