Data Analyst (Product)

Relay; Toronto; On-site; CAD 70,000 - 100,000; Full time

Benefits offered by this job

Equity

Hybrid work

Health benefits

Parental leave

Vacation days

Dog-friendly office

Job summary

Relay is seeking a Data Analyst, Product to bridge data insights with strategic product decisions as the company enters a growth phase. You will empower product and business teams with actionable analytics, build dashboards and track KPIs, and influence senior leadership with data-driven narratives.

You will collaborate across teams, apply statistics and A/B testing to evaluate product changes, and synthesize data from diverse sources to inform business outcomes.

Qualifications

• Proficient in SQL and able to write complex queries.
• Experience turning data into actionable insights for product or business decisions.
• Strong communication with stakeholders and ability to tell a data-driven story.
• Experience with data visualization and BI tools.
• Familiarity with data warehousing concepts and security best practices.

Responsibilities

• Bridge data insights with product decisions to guide Relay's growth.
• Build dashboards and reports; track core KPIs for product and business teams.
• Apply statistical methods, run A/B tests and evaluate feature impact.
• Deliver high-quality data models and clear visuals for stakeholders.
• Synthesize data from multiple sources to connect insights to outcomes.
• Regularly present findings to senior leadership with a clear narrative.

Skills

SQL

Data analysis

Stakeholder communication

Problem solving

Independent work

Python

R

Data storytelling

Ambiguity tolerance

Cross-functional collaboration

Tools

Metabase

Sigma

Periscope

Mode

dbt

Python

R

BigQuery

Snowflake

Redshift

AWS

GCP

Azure

Job description

• 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
• 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

• Competitive salary and meaningful equity: Relay employees are Relay owners, complete with equity and a competitive salary. Since 2023, 66%+ of employees have received salary increases, with multiple new team members joining just last year.
• Social connection: We believe in celebrating our wins with two annual company‑wide get‑togethers, quarterly team events, happy hours, and special events and networking opportunities with industry leaders.
• Personal and professional growth: Through ongoing feedback, mentorship, and coaching, work with peers and leaders who are invested in your growth and success. Even with more than half of our team joining in the last 12 months, almost 20% have received promotions in the last year alone.
• Parental leave with top‑up: We offer 12 weeks off with a 100% salary top‑up for all full‑time employees, regardless of location, and accessible for all parents: birthing, non‑birthing, and adoptive
• Comprehensive health benefits: Enjoy full health benefits from day one: no probation period required. We offer flexible Health or Wellness Spending Accounts and medical, dental, and vision coverage for you and your dependents.
• Hybrid work environment: We value meaningful collaboration and connection at our Toronto office three days per week, with lunch, snacks, and beverages on us.
• Top‑tier equipment: As a Mac‑first company, our Toronto offices have everything you need to produce your best work comfortably, from multiple screens to ergonomic seating.
• Flexible vacation and time off: Every team member starts with 15 vacation days and 5 flex days to use as needed, plus an extra week of office closure during the end‑of‑year holidays.
• Dog‑friendly space: Can dogs really make you happy and healthy? We don’t know for sure, but since we don’t want to chance it, our office is 100% floof‑friendly.
• Award‑winning workplace: As a winner of CB Insights’ Fintech 100, Deloitte Canada’s Technology Fast 50, Forbes Fintech 50, and the CIX Top 10 Growth Award, Relay is a recognized innovative and high‑growth company.

• You have experience using business intelligence and data visualization tools such as Metabase, Sigma, Periscope, Mode, or similar platforms
• You start with the business problem before jumping into the data, asking thoughtful questions to understand the context and objectives
• You communicate clearly, build strong relationships with stakeholders, and enjoy collaborating across multiple teams
• 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’re able to clearly explain your approach and reasoning, not just produce a working query
• You have experience working with large datasets, from exploration and analysis through to delivering insights.
• You’re comfortable working independently while partnering with cross‑functional stakeholders
• 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 thrive in ambiguity and adapt quickly in a fast‑paced environment where priorities, processes, and data infrastructure continue to evolve
• We’re looking for people who are relentless, curious, and care deeply about the work.
• Experience with a data‑oriented programming language (Python, R)
• Familiarity with dbt for data modelling, automation, or experimentation
• You’ve joined a company at its early stages and have seen it through scale
• Experience with cloud computing (AWS, GCP or Azure) and familiarity with cloud data warehouse platforms (Bigquery, Snowflake, Redshift, etc.)