About the role

Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.

Responsibilities

Collaborate closely with Product Owners and business stakeholders to design and plan experiments, define requirements, assumptions, and limitations
Explore and analyze experiment data to understand customer behaviour, usage patterns, and performance drivers
Propose, design, and evaluate experiments and causal analyses to answer well-scoped business questions
Create new projects and manage multiple analytical initiatives informed by experiment results and emerging insights
Conduct deep dive analyses to uncover trends, friction points, and opportunities
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
Use AI assisted tools to support data exploration, query development, and analytical workflows
Communicate data analysis results, insights, and recommendations clearly to stakeholders
Collaborate with fellow analysts to review results, refine methodologies, and strengthen analytical approaches

Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or other related programs
Experience in data analysis or product analysis
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
Experience analyzing and designing A/B experiments
Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas) and Project Management software
Ability to work independently and manage complex projects
Strong interest in data analysis and a natural tendency to dig deeper into unexpected results

Comprehensive health and dental benefits, plus an additional Health Care 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 to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities)
Casual work environment
Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team)
Free and easily accessible parking