Think insurance is boring? We did too. So we built a company that takes everything you think you know about buying insurance & turns it on its head.
At Cover, want to become the largest & 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 Combinators W16 batch, & have gone on to raise $27 million across three funding rounds backed by world class investors.
Were growing fast. In the past year weve scaled the team from 30 to 100 people across our San Francisco & Toronto offices.
Across our diverse & multi-skilled team were working together to deliver a service thats effortless to interact with, transparently priced, & built on a sustainable & long term footing.
Were pushing hard to make our vision of insurance a reality & we want dedicated, inquisitive & collaborative people who are ready to play their part in achieving our goal.
You will be part of the fast growing Toronto office. Were building a team of technical generalists with strong business acumen. The team reports directly to the Head of Operations & works cross-functionally with Product, Sales, Growth & Engineering teams.
Delivering meaningful & impactful reporting that enable insights & solution
Develop & maintain existing reports & dashboards to track KPIs across product, growth & sales
Identifying data inconsistencies & flagging for process improvement
Manage & develop our data analytics pipeline (ETLs etc.)
Understand how to make data visually appealing & simple to both navigate & comprehend
Solve business problems using data analytics, business intelligence, & critical thinking.
Work cross-functionally to design solutions to operations problems, influence product roadmaps, & solution new products/processes
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 & troubleshoot complex SQL queries.
Experience with data visualization tools (Tableau, Periscope, Looker, etc.)
Experience in analytical programming such as Python & R.
Strong analytical problem-solving skills, able to transform data into business insights & actionable recommendations
Strong understanding of analytics & how to measure the non-obvious within the domains of user acquisition, product improvements/optimizations, & sales operations
Has a keen interest in learning & 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 & 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.