Data Analyst

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 have a newly created Data Team that is capturing data, analyzing it, harvesting it, modeling it to provide meaningful insights to our Members and to our businesses. We’re looking for a top performing Data Analyst to join this team, which will be the backbone of all the businesses (based in downtown Toronto but also open to remote candidates)! Reporting to the Head of Data, the Data Analyst is a critical member of Ratehub’s team who will drive decision making across the company. You will work on high impact projects with business stakeholders and will need to use data to solve long-term and immediate business problems. The role will involve data analysis, modeling and insights development. The ideal candidate has strong communications skills, a passion for data, a background in quantitative analysis and an interest in personal finance. You will get the opportunity to work closely with the other analysts in the team as well as the business stakeholders to learn different parts of the business and provide valuable support with data reporting and analysis across various business units.

YOUR QUALIFICATIONS

• 2+ years of relevant work experience
• Post-secondary degree: We value intelligence over relevance, but a Bachelors in Computer Science would be looked upon favourably
• High proficiency with SQL for data analysis
• Strong understanding of BI & reporting tools e.g. Looker, Tableau, Sisense, QlikView.
• Knowledge of Python or R is considered an asset.
• Experience with a web analytics tool to support product and marketing analysis will be an asset.
• Exposure to cloud infrastructure such as AWS, Azure or GCP is nice to have

• Lead end to end analytics workflow to deliver analysis which is statistically sound and understandable for non technical stakeholders
• Own the design, development and maintenance of business metrics and KPI dashboards proactively discussing emerging trends along with recommendations with business stakeholders
• Support in developing and maintaining our data model by understanding key data sources and relationships between them.
• Collaborate with business partners on experimentation design and a/b testing
• Drive org wide impact by shaping business strategy through data centric analysis and presentations