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Business Data AnalystLawDepot · Edmonton, Hybrid
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LawDepot

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Business Data Analyst

🗓️ Posted 2026-09-18 Edmonton, Hybrid Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 5,417 CAD–8,333 CAD/mo

About the Company

Join one of the fastest growing companies in Canada LawDepot is proud to be a seven-time Growth 500 ranked organization and a major player in the Global legal solutions industry. Our mission is to modernize the legal document creation experience by empowering people with fast, easy-to-use, and professional solutions. With over ten million satisfied customers worldwide, over two million monthly website visitors, and billions of dollars saved on legal fees, you will be joining a team that is truly making a difference. At LawDepot, we foster a collaborative and inclusive learning culture that values excellence. Apply today and become a part of our exciting journey HOW TO APPLY Apply for this job here or submit your application through our Careers page at https://www.lawdepot.ca/career. We thank all applicants; however, only those selected for an interview will be contacted. LI-DNI

Responsibilities

  • ● gate unexpected findings, challenge assumptions constructively, and uncover opportunities that improve the customer experience and business performance. This role is for a curious, proactive analyst who thrives in ambiguity, takes ownership of analytical initiatives, and turns insights into meaningful action to uncover opportunities and strengthen how we measure, report, and make decisions across the business.
  • ● This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office.
  • ● 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
  • ● WHAT YOU BRING
  • ● Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or other related programs
  • ● + 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