Data Analyst, Product

Relay • Toronto, ON

1d • CA$99,000 - CA$121,000

About The Position

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, Product 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.

Requirements

• 2+ years of experience as a Data Analyst, Business Analyst, or in another data-focused role
• Fluent in SQL, including writing complex queries, working with window functions, optimizing performance, and understanding data warehousing concepts and security best practices. Able to clearly explain approach and reasoning, not just produce a working query
• Experience using business intelligence and data visualization tools such as Metabase, Sigma, Periscope, Mode, or similar platforms
• A track record of using data to influence business decisions. Enjoy turning complex analyses into clear, actionable insights that drive meaningful outcomes.
• Start with the business problem before jumping into the data, asking thoughtful questions to understand the context and objectives
• Experience working with large datasets, from exploration and analysis through to delivering insights. Comfortable working independently while partnering with cross-functional stakeholders
• Communicate clearly, build strong relationships with stakeholders, and enjoy collaborating across multiple teams
• Thrive in ambiguity and adapt quickly in a fast-paced environment where priorities, processes, and data infrastructure continue to evolve

Nice To Haves

• Experience with cloud computing (AWS, GCP or Azure) and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.)
• Familiarity with dbt for data modelling, automation, or experimentation
• Experience with a data-oriented programming language (Python, R)
• Have joined a company at its early stages and have seen it through scale

Responsibilities

• 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 and market opportunities. This includes conducting A/B tests and measuring the impact of product changes on user behaviour
• Synthesize information from diverse sources. Integrate and analyze data from user feedback, surveys, operational metrics, and event logs to connect insights directly to business outcomes
• Regularly reporting outcomes and insights to stakeholders across Relay, including the senior leadership team, providing a clear narrative of the impact on business objectives, thereby influencing future data-driven decision-making

Benefits

• Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle.
• We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process.
• For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed