Business Data Analyst

Job summary

Collaborate with product owners to design experiments and analyze customer behavior to drive product decisions. Build dashboards, optimize SQL queries, and translate complex data into actionable recommendations to improve business performance.

Job details

What the Role Does Turn data into better product decisions. 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 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. What You’ll Do 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 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 What Sets You Apart 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 Why You Should Join the LawDepot Team 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 to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities) Work alongside talented, driven colleagues in a culture focused on quality, reliability, innovation, and growth 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 Southgate Mall, Whyte Ave, and Calgary Trail restaurants are only minutes away Hybrid working arrangements for that balance between getting work done at home and engaging with others in the office Who We Are 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

What you’ll do

Collaborate with product owners to design experiments and analyze customer behavior to drive product decisions. Build dashboards, optimize SQL queries, and translate complex data into actionable recommendations to improve business performance.

Requirements

Requires post-secondary education in a relevant field and 3+ years of experience in data analysis or product analytics. Candidates must possess strong statistical knowledge, proficiency in SQL and Python, and the ability to manage multiple analytical initiatives.

Benefits

• Health insurance
• Dental benefits
• Health care spending account
• Personal spending account
• Paid vacation
• Company share plan
• Catered lunches
• Learning and training budget
• Flexible schedules

Listed skills

• SQL · Preferred
• Data analysis · Preferred
• Microsoft Excel · Preferred
• Communication · Preferred
• Project management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data analysis
• Product analytics
• SQL
• Python
• Statistical judgment
• Hypothesis testing
• A/B testing
• Data mining
• Segmentation
• Microsoft Excel
• Dashboarding
• Communication
• Experiment design
• AI tools
• Project management
• Claude Code
• Influencing Skills
• VS Code
• Continuous Development
• Influencing Without Authority
• Product Roadmaps
• Python For Data Analysis
• Productivity Improvement
• Curiosity
• Product Analytics
• Research
• Artificial Intelligence
• Data Analysis
• Dashboard
• Business Economics
• Customer Service
• Computer Science
• Confidence Intervals
• Data Mining
• Pivot Tables And Charts
• Experimentation
• Leadership
• Statistical Hypothesis Testing
• Innovation
• Internal Documentation
• Mathematics
• Matplotlib (Python Package)
• Refining
• SQL (Programming Language)
• Statistics
• Writing
• Reliability
• Data Science
• Pandas (Python Package)

Job areas

• Data & Analytics
• Technology
• Software
• Management & Leadership
• Consulting
• Business Data Analyst
• Business Analyst (General)
• Management and Organization Analysts
• Management Analysts

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