Demo

BUSINESS DATA ANALYST

Insurify
Insurify Salary
MA Full Time
POSTED ON 5/4/2025
AVAILABLE BEFORE 6/5/2025

Warning : Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters.

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 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 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 start-up's around the world

Our team is highly analytical, fast-moving, and focused on one thing : getting more people to compare insurance quotes using Insurify.

How you will make an impact :

  • Solve cross-functional, high velocity, high impact analytics problems. Scale the business using data.
  • A mix of business analytics, analytics engineering, and data science using SQL and python.
  • Ultimately, this role is about using data to make our company better across all areas of the business, so we want someone who is 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, spark, dbt, sql, spark
  • 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
  • We are proud to be an Equal Employment Opportunity and Affirmative Action employer.

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

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