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Cover // mobile insurance brokerage platform
 
Toronto, Ontario, Canada    Posted: Saturday, September 07, 2019
 
   
 
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JOB DETAILS
 

We're reshaping the way that insurance is sold, & building products to make sure our customers get the most out of the insurance policies they buy. Insurance products are consumer products, yet have never been treated as such by incumbents. We're proud of our customer-centric focus, & the elegant apps we build to better serve our customers. Cover has significant backing by world-class investors & is based in San Francisco.

You will be part of the fast growing Toronto office, & be third hire to the Analytics team. Were building a team of technical generalists with a strong business sense. The team reports directly to the Head of Operations & works cross-functionally with Product, Sales, Growth & 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 & strategic planning.

Within business intelligence, you will: 

  • Develop reports & dashboards to track KPIs across product, growth & sales 

  • Manage & develop our data analytics pipeline (ETLs etc.)

Within operational problem solving, you will: 

  • Use creative quantitative & qualitative methods to diagnose complex business problems & identify areas for improvement 

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

  • Create measures for success across business functions & 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.) & prepare materials for presentation to investors & 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 & partially structured 

  • Solid understanding of statistical inference, experimental design & 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 & data analysis programming languages (e.g. Python, R, Git, Ruby etc) 

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

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

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

  • A self-starter who can effectively prioritize multiple competing projects 

  • Has a keen interest in learning & 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

 
 
 
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