Data Analyst, Product

You have 2+ years of experience as a Data Analyst, Business Analyst, or in another data-focused role

You are fluent in SQL, including writing complex queries, working with window functions, optimizing performance, and understanding data warehousing concepts and security best practices.

You have experience using business intelligence and data visualization tools such as Metabase, Sigma, Periscope, Mode, or similar platforms

You have a track record of using data to influence business decisions.

You enjoy turning complex analyses into clear, actionable insights that drive meaningful outcomes.

You start with the business problem before jumping into the data, asking thoughtful questions to understand the context and objectives

We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle.

The annual salary range for this role is $99,000 CAD to $121,000 CAD.

For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $110,000 CAD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one.

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

.

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.