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Salary: CAD 99,000 - 121,000 / annual
Relay is a digital banking platform designed for self-made business owners, providing tools and visibility to manage cash flow and financial decision-making. The Data Analyst, Product role bridges data insights with strategic business decisions as the company scales.
Key responsibilities include:
- Collaborating with cross-functional teams to propose analytical solutions and data insights that drive improvement in strategic areas
- Identifying and tracking core KPIs, building dashboards and reports to empower teams with necessary data
- Performing in-depth analysis to inform business recommendations and present trends to stakeholders
- Monitoring data quality to ensure accuracy and consistency
- Delivering high-quality data models, visualizations, and reports aligned with business objectives
- Applying statistical methods including A/B testing to evaluate product features and market opportunities
- Synthesizing insights from diverse sources (user feedback, surveys, operational metrics, event logs) to connect to business outcomes
- Reporting outcomes and insights to senior leadership, influencing data-driven decision-making
Required qualifications:
- 2+ years experience as a Data Analyst, Business Analyst, or similar data-focused role
- Fluency in SQL including complex queries, window functions, performance optimization, and data warehousing concepts
- Experience with business intelligence and data visualization tools (Metabase, Sigma, Periscope, Mode, or similar)
- Track record of using data to influence business decisions and translate complex analyses into actionable insights
- Ability to start with business problems before diving into data, asking thoughtful clarifying questions
- Experience working with large datasets from exploration through insight delivery
- Strong communication skills and ability to collaborate across multiple teams
- Comfort thriving in ambiguity within a fast-paced, evolving environment
Bonus experience includes cloud computing (AWS, GCP, Azure), cloud data warehouses (BigQuery, Snowflake, Redshift), dbt for data modeling, data-oriented programming languages (Python, R), and experience scaling early-stage companies.
