Data Analyst at Cover
Toronto, Ontario, CA

Think insurance is boring? We did too. So we built a company that takes everything you think you know about buying insurance and turns it on its head.

At Cover, want to become the largest and most customer centric insurance company in the world. Founded in 2016, Cover is a mobile-first insurance platform licensed in all 50 states, working with over 35 carriers. We were part of Y Combinator’s W16 batch, and have gone on to raise $27 million across three funding rounds backed by world class investors. 

We’re growing fast. In the past year we’ve scaled the team from 30 to 100 people across our San Francisco and Toronto offices. Across our diverse and multi-skilled team we’re working together to deliver a service that’s effortless to interact with, transparently priced, and built on a sustainable and long term footing.

We’re pushing hard to make our vision of insurance a reality and we want dedicated, inquisitive and collaborative people who are ready to play their part in achieving our goal.

The Role: 

You will be part of the fast growing Toronto office. We’re building a team of technical generalists with strong business acumen. The team reports directly to the Head of Operations and works cross-functionally with Product, Sales, Growth and Engineering teams.

Key Responsibilities: 

  • Delivering meaningful and impactful reporting that enable insights and solution
  • Develop and maintain existing reports and dashboards to track KPIs across product, growth and sales 
  • Identifying data inconsistencies and flagging for process improvement
  • Manage and develop our data analytics pipeline (ETLs etc.)
  • Understand how to make data visually appealing and simple to both navigate and comprehend
  • Solve business problems using data analytics, business intelligence, and critical thinking.
  • Work cross-functionally to design solutions to operations problems, influence product roadmaps, and solution new products/processes 

Requirements: 

  • BS/BA in Statistics, Math, Engineering, Computer Science, Economics, Business, or a related technical field 
  • 1-2 years of professional working experience involving data analysis
  • Strong proficiency with SQL-based languages. An ability to write and troubleshoot complex SQL queries.
  • Experience with data visualization tools (Tableau, Periscope, Looker, etc.) 
  • Experience in analytical programming such as Python and R.
  • Strong analytical problem-solving skills, able to transform data into business insights and actionable recommendations
  • Strong understanding of analytics and how to measure the non-obvious within the domains of user acquisition, product improvements/optimizations, and sales operations 
  • Has a keen interest in learning and getting involved in the business operations at Cover

Nice to Have: 

  • Experience working on ETLs/data pipelines
  • Experience developing machine learning / predictive models to solve complex business problems 
  • Experience in Technology or Insurance

We Believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.