Data Analyst
Cover
Toronto, ON
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, and be third hire to the Analytics team. We're building a team of technical generalists with a strong business sense. The team reports directly to the Head of Operations and works cross-functionally with Product, Sales, Growth and Engineering teams.

Responsibilities:
Build a profitable national multi-line insurance entity from scratch, but seriously. To do this, you will assist with business intelligence, operational problem solving and strategic planning.

Within business intelligence, you will:
Develop reports and dashboards to track KPIs across product, growth and sales

Manage and develop our data analytics pipeline (ETLs etc.)

Within operational problem solving, you will:
Use creative quantitative and qualitative methods to diagnose complex business problems and identify areas for improvement

Work cross-functionally to design solutions to operations problems, influence product roadmaps, and solution new products/processes

Create measures for success across business functions and ensure accountability

Within strategic planning, you will:
Implement organization in a rapidly growing, constantly changing environment

Develop operating models (financial forecasts, customer LTV models, etc.) and prepare materials for presentation to investors and board members

Requirements:
BS/BA in Statistics, Math, Engineering, Computer Science, Economics, Business, or a related technical field

2-5+ years of professional working experience in a data analytics role, working with large data sets that are structured and partially structured

Solid understanding of statistical inference, experimental design and analysis

3+ years of hands-on SQL experience developing optimized complex queries on large scale datasets

3+ Years of experience working with a BI tool (Tableau, Periscope, Looker, etc.)

2-3+ Years of experience with scripting and data analysis programming languages (e.g. Python, R, Git, Ruby etc)

Strong analytical problem-solving skills, able to transform data into business insights and actionable recommendations

Successfully (and independently) able to drive projects and analytical tasks to conclusion through critical thinking

Strong understanding of analytics and how to measure the non-obvious within the domains of user acquisition, product improvements/optimizations, and sales operations

A self-starter who can effectively prioritize multiple competing projects

Has a keen interest in learning and getting involved in the business operations at Cover

Nice to Have:
Worked at or founded a startup (i.e. built something)

Experience developing machine learning / predictive models to solve complex business problems

Consulting/ project management experience

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.

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