Head of Data

at  RateHub

WHO IS RATEHUB?

We’re a company on a mission - We are a unique Canadian Fintech that is the one stop shop for all financial needs of the consumer - Save, Spend, Borrow, Invest, and Protect. Every single team member, from product & engineering to sales & marketing, finance, operations, and everything in between is obsessed with one thing; helping Canadians make better financial choices. And we’re pretty great at it, too. Via our digital application technology and our award-winning in-house brokerages, we help over 2M Canadians per month make a positive impact on their finances. We have many unique businesses - a mortgage brokerage, a life insurance brokerage, a home and auto insurance brokerage, a mortgage originations and servicing business, a Financial Services Marketplace and a content business across Ratehub and MoneySense. 365 days a year we deliver our users the best online mortgage experience, personalized Credit Card and Loans options, and cheaper auto & home insurance policies than they typically get from their existing financial adviser.
Changing how people make financial choices isn’t easy, though. We know that achieving our mission is full of challenges; challenges that can be complex and often unexpected, but that are always interesting, rewarding, and fun to solve as a team. This is where you come in. We are on the hunt for the right kind of people to join us and help lead us forward to continued growth.
We’re looking for a Head of Data to join our growing team (based in downtown Toronto but also open to remote candidates)! The Head of Data will report to the CEO of Ratehub, be part of the C suite, formulate the vision of Data across the company and execute. The ideal candidate is a proven leader with Engineering and Data Science expertise that can work seamlessly with business partners, Business Unit Leaders, Engineers, Data Scientists, Modelers and the CEO to build Data as a strong asset across Ratehub.

YOUR QUALIFICATIONS

• Proven Data Leader in Financial Services
• Experience building and scaling Data teams
• Strong commercial mindset
• Strong Thinker/Doer
• Ability to thrive in ambiguity
• Post-secondary degree: Our ideal candidate has a Master’s degree in Statistics, Mathematics, Business, Economics or Engineering
• 8+ years of experience in Data and analytics roles. Ideal candidate has 10+ years of experience
• Proficiency with web analytics tools such as Google Analytics, Google Tag Manager, Google Ad Words and Heap (or similar)
• Experience with reporting visualization tools (Looker, Tableau or similar)
• Experience defining, designing and evolving a large data warehouse, including architecture, table schemas and technology selections
• Comfort with Python, SQL, and ideally some familiarity with R
• Experience with cloud hosting platforms (AWS, GCP, Azure), schedule runners (Airflow) and data transformation tools (dbt) is considered an asset
• Experience in hiring, training, mentoring and retaining talented team members