Senior Data Analyst, Product

Company: Relay

Location: Toronto, ON

Type: Full-time

Posted: 2026-03-17

About this role

Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses.

We are looking for a Data Analyst who will play a pivotal role in bridging data insights with strategic business decisions as Relay enters an exciting new chapter of growth. As we’ve grown, we need support from you in bridging the gap between data insights and strategic product or business decisions, influencing the direction and success of Relay. You'll be instrumental in ensuring that our product & business teams are empowered with deep, actionable insights, enabling us to make informed, data-driven decisions that resonate with our customers' needs.

*Please note that we are a hybrid environment and choose to collaborate in the office 3 days a week (Tues - Thurs).*

What You'll Be Doing

  • Collaborating with cross-functional teams by proactively proposing analytical solutions and data insights that drive improvement in key strategic pillars.
  • Ensuring teams have the necessary data they need to function effectively by identifying and tracking core KPIs on top of building dashboards and reports.
  • Performing in-depth analysis to drive fresh insights, and inform business recommendations by presenting trends to stakeholders.
  • Monitoring and evaluating data quality to ensure the accuracy and consistency of data.
  • Consistently delivering high-quality data models, easy-to-interpret visuals (such as charts, graphs and dashboards), and reports that demonstrate a strong understanding of business needs and objectives.
  • Apply statistical methods to dissect and interpret data, aiding in the prediction and evaluation of new product features a...

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