Analytics Engineer
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 from Kayak, Amazon, Wayfair, Facebook, Microsoft, Allstate, GEICO, Liberty Mutual, Zillow
How you will make an impact
- Building scalable, robust data pipelines to power the company forward.
- Bring knowledge around data modeling techniques that will maximize performance and minimize tech debt.
- Improve the design and implementation of our customer acquisition bidding algorithm code.
- Lead within the team and across the company regarding data best practices.
- Bring your ideas, ultimately our team is about coming up with and executing data solutions to drive business growth, this isn’t a role where you will just get assigned tasks with no input. We are looking for your input and vision.
- 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!
What you need to succeed
- B.A. / B.S. degree in technical/quantitative disciplines or equivalent experience.
- Strong quantitative and programming skills with a product-driven sensibility.
- Knowledge of statistics.
- Expertise in and real-world experience with SQL.
- Experience in data analysis in consumer / retail / e-commerce / SaaS.
- Knowledge of Python (preferred) or R.
- Quick learning ability and a drive suitable for the startup hustle.
- A 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
- 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 and donation matches
- Catered lunches in the office
- Free snacks and beverages every day in office