Head of Data

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 RESPONSIBILITIES

Leadership:

• Own the vision and roadmap for Data at Ratehub.ca
• Be the partner to the CEO in setting up the organization to own our data, own our members
• Be the expert on our data, modeling, definitions, and processes and tools
• Foster a culture of owning the membership data, data fluency and data-driven decision-making across the organization
• Run Data as a business within the broader Ratehub Membership business
• Mentor and grow the Data team to build best in class talent across Data Science, Data Engineering, Modeling, Analytics and retain them

Data analysis and reporting:

• Own the vision and drive best practices across: 
  • Data ingestion - First party and 3rd party
  • Data harvesting
  • Data Engineering
  • Data Analysis
  • Modeling
• Model the data to drive price optimization, Revenue optimization, Member insights, approval odds, pre-approvals etc. 
  • Business Insights
  • Member insights
  • Marketing
  • Pricing
  • Revenue
  • Credit
  • Products
• Integrate with strategic partners such as credit bureaus, banks, financial institutions etc.
• Own Data science, modeling, reporting and monitoring of our key metrics
• Uncover actionable insights for our product, business and marketing teams and communicating those insights effectively to key stakeholders
• Design experiments and iterate to drive outcomes across product, pricing and marketing

Data warehousing and governance:

• Design, implement, and manage all of the tools and processes necessary to enable data-informed decisions across the organization
• Ensure that the correct systems and processes are in place to maintain data integrity and standardized metrics across the business
• Define the business needs for a centralized data warehouse and reporting system which integrates key internal and external datasets and enables self-service analysis
• Coordinate development efforts in building a highly reliable and accurate data warehouse and reporting tools

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

CULTURE FIT:

• No Ego: No task is too big or small. You are never afraid to ask questions when you are trying to learn and understand things. You have no problem rolling up your sleeves and helping to execute when the team needs help. This humility extends to all aspects of your work and interaction with teammates.
• Player Coach: You mentor and teach as you execute. You model the behaviour you expect from your team. You don’t just tell others what to do, you know and show how to do it at a high standard. 
• Growth mindset: You have a desire to always continue to grow and learn. This means a willingness to get outside your comfort zone and try new things because you view these as opportunities to gain skills and knowledge.
• Helping Hand: You always offer to help without having to be asked. You go the extra mile to help out regardless of your team and function.
• Get S##T Done: Your bias is towards action. This means pitching in and rallying to get things across the finish line. Rather than putting off work ask yourself what you can do today to move the needle on a project or goal.
• Digs Deep: You aren't afraid to ask questions because you want to understand every issue so that you can properly solve the root cause of the problem instead of just completing the task you are given.

JOB PERKS:

• Competitive salary: We know life is expensive
• Benefits: Health is wealth! A benefits package with no employee contribution required
• Perks: RRSP matching program, individual training allowance, access to financial literacy training and resources 
• Casual dress code: If it’s good enough for you, it’s good enough for us
• Fun team socials