Data Analyst, Product at relayfi. Relayfi is an innovative digital banking platform dedicated to empowering business owners with the tools they need to manage their finances effectively. We are on the lookout for a Data Analyst who can transform complex data into strategic insights that will drive our growth. This role is pivotal in helping us navigate our scaling journey by providing data-driven recommendations that enhance our product offerings and overall business strategy.
Key facts Location: Toronto, ON
Engagement: Full-Time
Compensation: $99,000 CAD to $121,000 CAD per year
Team: Engineering
What you'll do Develop and propose analytical strategies that enhance key strategic objectives across various teams within the organization.
Establish and monitor essential KPIs, while creating comprehensive dashboards and reports that provide visibility into performance metrics.
Perform in-depth analyses to uncover trends and generate actionable insights that can influence business decisions.
Ensure the integrity and consistency of data across all reporting mechanisms to maintain high-quality standards.
Design data models and create intuitive visualizations that effectively communicate business goals and objectives to stakeholders.
Apply statistical techniques to evaluate new product features, conduct A/B testing, and explore potential market opportunities.
Synthesize data from multiple sources, including user surveys, feedback, operational metrics, and event logs to provide a holistic view of performance.
Deliver insights and compelling narratives to various stakeholders, including senior leadership, to inform strategic decision-making.
Requirements A minimum of 2 years of experience in a data-centric role, such as Data Analyst or Business Analyst, with a proven track record of delivering insights.
Proficiency in SQL, with the ability to write complex queries, utilize window functions, and optimize performance for large datasets.




Familiarity with business intelligence and visualization tools, such as Metabase, Sigma, Periscope, or Mode, to create impactful reports and dashboards.
Demonstrated ability to influence business outcomes through data analysis and insights.
Experience in managing extensive datasets from initial analysis through to the delivery of actionable insights.
Strong capability to work autonomously while also collaborating effectively with various stakeholders across the organization.
Comfort with ambiguity and the ability to thrive in a quick-paced, dynamic environment.
Nice to have Experience with cloud computing platforms, including AWS, GCP, or Azure, which can enhance data handling capabilities.
Familiarity with cloud-based data warehouses such as BigQuery, Snowflake, or Redshift for efficient data storage and retrieval.
Experience using dbt for data transformation and automation, streamlining data workflows.
Proficiency in programming languages such as Python or R for advanced data analysis and modeling.
A background in working at an early-stage company during a period of growth, providing insight into startup dynamics.
Skills & tools SQL
Business intelligence tools (Metabase, Sigma, Periscope, Mode)
Data visualization and reporting techniques
Statistical analysis methodologies
A/B testing frameworks
Data modeling practices
Practical notes The interview process will consist of several stages: an initial call with a recruiter, a subsequent interview with the hiring manager, a take-home case study that will be reviewed by the team, and finally, an in-person meeting with leadership to discuss your potential fit within the company.
All job offers are contingent upon the successful completion of a background check and employment verification, which will be conducted through Certn.
If you need any accommodations during the hiring process, please reach out to your Talent Partner to discuss your requirements.

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📌 Data Analyst, Product (Ontario)
🏢 Relayfi
📍 Ontario