Business Data Analyst

As a Business Data Analyst, you will partner with Product Owners to design experiments, analyze customer behaviour, and turn complex data into clear, actionable recommendations. Your work will influence product roadmaps across key customer journeys, including conversion, engagement, and renewals. You will go beyond reporting results. You will apply statistical rigour, investigate unexpected findings, challenge assumptions constructively, and uncover opportunities that improve the customer experience and business performance. This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office.

Responsibilities

Collaborate with Product Owners to design and plan experiments, define requirements, assumptions, and limitations; Explore and analyze experiment data to understand customer behaviour, usage patterns, and performance drivers; Lead multiple analytical initiatives, using findings to recommend clear next steps and inform priorities; Conduct deep dive analyses to uncover customer behaviour trends, friction points, and growth opportunities; Use AI tools to research internal documentation and tools, support SQL and code development, and review analytical work efficiently; Build dashboards and automated reports to improve accessibility and insight quality; Translate business questions into measurable metrics; Deliver data based recommendations and clearly identify actionable next steps; Improve tracking plans, event quality, and attribution logic to ensure accurate and reliable measurement; Write and optimize SQL queries and notebooks to support analysis; Communicate data analysis results, insights, and recommendations clearly to stakeholders; Collaborate with fellow analysts to review results, refine methodologies, and strengthen analytical approaches

Requirements

Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or other related programs; 3+ years of experience in data analysis, product analytics, or data science; Strong statistical judgment, including hypothesis testing, confidence intervals, sample size and power considerations, and the ability to distinguish meaningful findings from noise; Strong communication skills and ability to explain complex analysis clearly; Solid understanding of statistics and experiment analysis; Proficiency in SQL, including writing efficient queries with joins, aggregations, and filtering logic; Knowledge of data mining and segmentation techniques; Familiarity with Python for data analysis and visualization (ex. pandas, Matplotlib); Ability to manage multiple experiments and analyses simultaneously; Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas); Ability to work independently and manage complex projects; Strong interest in data analysis and a natural tendency to dig deeper into unexpected results; Experience using AI-enabled development environments such as Cursor, Claude Code, VS Code, or Copilot

Nice to have

Experience analyzing and designing A/B experiments; Ability to structure ambiguous problems into analytical plans; Confidence challenging assumptions while maintaining strong working relationships; Proactive mindset that goes beyond answering questions to identifying new opportunities; Comfortable presenting insights to Product Owners and leadership

Benefits

Excellent total compensation package; Comprehensive health and dental benefits, plus an additional Health Care Spending / Personal Spending Account; Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours); Three weeks paid vacation, plus bonus personal days; Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets; Company share plan; Free catered lunches for the entire office; Monthly social events for team members; Work alongside talented, driven colleagues in a culture focused on quality, reliability, innovation, and growth; Personal offices for focused work plus collaborative workspaces; Free and easily accessible parking; Hybrid working arrangements