LawDepot
LawDepot
201 – 500 Employees
B2CLegalSaaS
LawDepot is a legal technology and SaaS platform that helps individuals and small businesses prepare routine legal paperwork online. Its guided templates and interactive interviews support the creation, customization, and download of documents including wills, rental agreements, powers of attorney, and business contracts. Customers can access these self-serve tools through subscriptions or one-time purchases.

Business Data Analyst at LawDepot (Hybrid, Edmonton)

Help LawDepot improve product decisions through experimentation, customer-behaviour analysis, and actionable data insights. The role supports roadmap planning for conversion, engagement, and renewals.

Description

  • Work with Product Owners to shape and schedule experiments
  • Establish experiment requirements, assumptions, and constraints
  • Evaluate experiment results, customer behaviour, usage patterns, and performance factors
  • Manage several analytical initiatives and advise on follow-up actions
  • Perform detailed analyses to identify behavioural trends, user friction, and growth opportunities
  • Apply AI tools to find internal documentation, support SQL and code development, and review analytical work
  • Create dashboards and automate recurring reports
  • Convert business questions into clearly defined, measurable metrics
  • Present evidence-based recommendations and practical next steps
  • Strengthen tracking plans, event quality, and attribution logic
  • Develop and optimize SQL queries and analytical notebooks
  • Explain analytical findings, insights, and recommendations to stakeholders
  • Work with analysts to validate results, improve methods, and advance analytical practices
  • Help shape product roadmaps spanning conversion, engagement, and renewals

Requirements

  • Post-secondary qualification in Business, Economics, Mathematics, Data Science, Computer Science, or a related field
  • At least three years of experience in data analysis, product analytics, or data science
  • Sound statistical judgment, including hypothesis testing, confidence intervals, sample-size and power analysis, and separating meaningful results from noise
  • Clear communication skills with the ability to explain complex analyses effectively
  • Strong grounding in statistics and experimental analysis
  • Proficiency with SQL joins, aggregations, and filtering logic
  • Understanding of data-mining and segmentation methods
  • Experience using Python for data analysis and visualization, including pandas and Matplotlib
  • Capacity to handle multiple experiments and analytical projects at once
  • Proficiency with Microsoft Excel, including PivotTables, visualizations, and formulas
  • Ability to work independently while managing complex projects
  • Strong interest in data analysis and curiosity when investigating unexpected findings
  • Experience with AI-assisted development environments such as Cursor, Claude Code, VS Code, or Copilot
  • Permanent legal authorization to work in Canada
  • Ability to perform the position's duties with or without reasonable accommodation

Benefits

  • Competitive overall compensation package
  • Extensive health and dental coverage
  • Health Care Spending or Personal Spending Account
  • 37.5-hour work weeks
  • Flexible scheduling
  • Option to bank hours
  • Three weeks of paid vacation
  • Additional personal days
  • Ongoing learning and development opportunities
  • LinkedIn Learning access
  • Professional training budgets
  • Company share plan
  • Complimentary catered lunches for the full office
  • Monthly team social events
  • Private offices and collaborative work areas
  • Free, convenient parking
  • Hybrid work arrangement

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