Data Quality Analyst improving policy, premium, and claims data integrity for Ledgebrook’s AI - native specialty insurance platform. Building controls, automated checks, and workflows across business and engineering teams.
About the role
- Business Data Analyst helping LawDepot modernize legal document creation. Designing experiments, analyzing customer behaviour, and guiding product decisions with actionable insights.
Responsibilities
- Partner with Product Owners to design and plan experiments
- Define experiment requirements, assumptions, and limitations
- Explore and analyze experiment data to understand customer behaviour, usage patterns, and performance drivers
- Lead multiple analytical initiatives and recommend next steps
- 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
- Build dashboards and automated reports
- Translate business questions into measurable metrics
- Deliver data-based recommendations and identify actionable next steps
- Improve tracking plans, event quality, and attribution logic
- Write and optimize SQL queries and notebooks
- Communicate analysis results, insights, and recommendations to stakeholders
- Collaborate with analysts to review results, refine methodologies, and strengthen analytical approaches
Requirements
- Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or another related program
- 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 distinguishing 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 efficient queries with joins, aggregations, and filtering logic
- Knowledge of data mining and segmentation techniques
- Familiarity with Python for data analysis and visualization, including pandas and Matplotlib
- Ability to manage multiple experiments and analyses simultaneously
- Proficiency using Microsoft Excel, including Pivot Tables, Visualizations, and Formulas
- Ability to work independently and manage complex projects
- Strong interest in data analysis and tendency to investigate unexpected results
- Experience using AI-enabled development environments such as Cursor, Claude Code, VS Code, or Copilot
- Experience analyzing and designing A/B experiments
- Ability to structure ambiguous problems into analytical plans
- Confidence challenging assumptions while maintaining working relationships
- Proactive mindset focused on identifying new opportunities
- Comfortable presenting insights to Product Owners and leadership
- Legally entitled to work permanently in Canada
Benefits
- Excellent total compensation package
- Comprehensive health and dental benefits
- Health Care Spending / Personal Spending Account
- Flexible schedules
- Ability to bank hours
- Three weeks paid vacation
- Bonus personal days
- Continuous learning opportunities
- LinkedIn Learning subscriptions
- Training budgets
- Company share plan
- Free catered lunches for the entire office
- Monthly social events
- Personal offices and collaborative workspaces
- Free and easily accessible parking
- Hybrid working arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
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