Business Data Analyst

InsurifyCambridge, MA
9d$75,000 - $95,000

About The Position

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

Requirements

  • 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 Haves

  • 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
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