Senior Data Analyst (Remote Optional) at Cover
Toronto, Ontario, CA / Remote
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.
We are looking for an experienced Senior Data Analyst to join the Cover Analytics team. This role will involve working with complex datasets to translate business needs into analytics and visualizations that provide actionable insights. You’ll partner with Product, Marketing, Sales and Engineering teams to help them make data-informed decisions.

Key Responsibility

    • Work with complex data sets to answer complicated questions and uncover new business insights.
    • Autonomously prioritize and execute Analytics projects and tasks in a fast-paced environment.
    • Identify the trade-offs between speed and quality of different approaches. 
    • Build dashboards and reporting to measure progress in key initiatives. 
    • Partner with executives, product managers, engineers and marketers to provide data-driven recommendations, support with ad-hoc analysis, and ensure stakeholders are asking the right questions.
    • Manage and develop our data analytics pipeline.
    • Contribute to improving data culture. Develop and improve data processes and best practices.


    • 3+ years of professional working experience in Analytics
    • 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 
    • Strong business acumen, including communication and interpersonal skills
    • Ability to thrive in fast-paced work environments and manage and prioritize multiple projects.

Nice to Have

      • Experience working on ETLs/data pipelinesExperience in A/B testing, designing and measuring experiments
      • Experience developing machine learning / predictive models to solve complex business problems 
      • Experience in Technology and/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.