Business Data Analyst

Opportunity

Location and work arrangement

• Based in the Etobicoke office, balancing in-office collaboration with remote flexibility.

Salary

• Expected base salary range is $71,000–$100,000; no pay cadence is stated.
• Total compensation may include variable or discretionary incentives such as bonuses and commissions.

What you'll do

• Build, maintain, and enhance recurring reports, dashboards, scorecards, and analytical outputs.
• Analyze product performance, customer onboarding, service levels, revenue, customer experience, sales channels, and process efficiency.
• Extract, validate, and analyze data from multiple systems using SQL, Excel, BI tools, and analytics platforms.
• Translate business questions into insights and recommendations for technical and non-technical stakeholders.
• Support reporting cycles, leadership updates, performance reviews, and ad hoc analysis.
• Define reporting requirements and metrics with stakeholders, validate assumptions, and ensure accuracy.
• Identify data quality issues, reporting gaps, process inefficiencies, and opportunities for automation.
• Document reports, dashboards, sources, metrics, assumptions, and business rules.
• Contribute to dashboard enhancements, reporting automation, data model improvements, and migration to modern data platforms.

What you bring

• Bachelor’s degree in a related listed field, or equivalent work experience.
• 3–5 years of experience in a data, reporting, business, product, or operations analyst role, or similar.
• Experience building and maintaining reports, dashboards, or recurring performance reporting.
• Experience gathering requirements with business stakeholders and delivering data-driven insights.
• Strong SQL, including joins, aggregations, common table expressions, data validation, and large-dataset analysis.
• Advanced Excel, including formulas, pivot tables, lookups, data preparation, and structured analysis.
• Experience with BI and visualization tools such as Tableau, Power BI, or similar.
• Experience analyzing multiple data sources to identify trends, issues, and business implications.
• Payments, financial services, technology, product, operations, or customer experience analytics experience is advantageous.
• Python, Jupyter Notebook, Snowflake, dbt, reporting automation, or statistical analysis experience is advantageous.

Benefits and development

• Benefits include performance-based bonuses, flexible benefits, and a health or personal spending account.
• Retirement support includes profit-sharing with company match and a defined contribution pension plan.
• Development offerings include Coursera, mentorship, and an internal gig marketplace.
• Wellness offerings include an employee and family assistance program, virtual healthcare, and workplace wellness initiatives.
• Work arrangements include hybrid options, a Work from Abroad program, and paid time off.
• Recognition programs, banking perks, and employee discounts are available.

Hiring process

• The company may use AI-enabled tools to screen, select, and assess applicants; recruitment staff review and validate AI outputs.