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Job Description & How to Apply Below
Turn data into decisions that drive revenue.
This is a high impact experimentation and analytics role focused on optimizing Law Depot’s Checkout experience across a large scale global eCommerce platform. You will design and evaluate experiments, apply rigorous statistical thinking, and dive deep into behavioural data to uncover what truly drives user decisions. Your work directly influences conversion rate, subscription valuation, customer behaviour, and long-term revenue growth.
This role is based in Edmonton, Alberta, with opportunities for a hybrid work arrangement.
What You’ll Do:
Explore and analyze both experimental data and day to day user data to understand performance across the Checkout experience
Own end to end analytical initiatives, identifying and executing on revenue opportunities informed by past experimentation, competitive analysis, and market trends
Design, evaluate, and monitor controlled experiments, identifying follow up optimization opportunities
Create baseline models and establish experiment metrics to measure uplift, validate hypotheses, and inform revenue growth decisions
Translate behavioural insights into clear business recommendations tied to subscription valuation and monetization
Develop SQL queries and Python code for data extraction, analysis, and automation
Design dashboards that enable self-service reporting and support decision-making
Build clear, actionable data visualizations that make insights accessible to stakeholders
Apply appropriate statistical and modeling techniques based on the problem and available data
Create and initiate monetization projects based on learnings from past initiatives, competitive analysis, and market trends
Contribute to improving data tracking, event quality, and attribution logic over time
Collaborate with analysts, developers, and product stakeholders to ensure accurate tracking and measurement
Present findings in weekly team meetings and contribute to prioritization decisions
What You Bring:
The Essentials
Post secondary education in Data Science, Business, Finance, Economics, Mathematics, Statistics, Computer Science, or a related field
Solid foundation in statistical analysis, including hypothesis testing and interpreting experimental results
Ability to execute well-scoped analytical tasks and models under minimal guidance, contributing accurate and timely insights to business problems
Proficiency in SQL, including writing efficient queries with joins, aggregations, and filtering logic
Familiarity with Python for data analysis and visualization (ex. pandas, Matplotlib)
Proficiency in Microsoft Excel, including Pivot Tables, formulas, and data visualization
Strong communication skills and ability to explain complex analysis clearly
Proactive mindset with a willingness to take ownership
Curiosity and a natural tendency to dig deeper into unexpected results
The Nice to Haves (Great if you have it and we’ll help you learn if you don’t)
Experience conducting financial analysis on large datasets
Knowledge of data mining and segmentation techniques
Experience independently managing complex analytical initiatives
Experience analyzing and designing A/B experiments
Compensation
Range: $60,000 - $80,000 CAD
Placement within the range is based on relevant experience, demonstrated skills, unique qualifications, and alignment with the role’s scope and impact. In addition to base compensation, Law Depot offers a comprehensive and competitive Total Rewards program.
Why You Should Join the Law Depot Team:
Excellent total compensation package
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 Linked In 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…
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