Senior Data Analyst
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Key skills for this role
Role Overview
Senior Data Analyst supporting data-driven decision-making across Life Insurance operations.
The role delivers insights that improve sales performance, customer retention, operational efficiency, customer experience, and new market expansion.
Key Skills for This Role
Full Job Posting
Role Overview
Senior Data Analyst supporting data-driven decision-making across Life Insurance operations.
The role delivers insights that improve sales performance, customer retention, operational efficiency, customer experience, and new market expansion.
Sales Optimization and Growth
- Analyze sales performance and identify opportunities to improve lead conversion, agent productivity, and overall sales effectiveness.
- Develop dashboards, scorecards, and reports for key sales metrics.
- Support forecasting, capacity planning, sales strategy, and reporting automation initiatives.
Care and Support Analytics
- Analyze customer and policyholder behavior to identify drivers of retention, persistency, and customer satisfaction.
- Monitor post-sales metrics including retention, service levels, and customer experience.
- Partner with Care and Support teams on operational improvements and customer retention initiatives.
Market Expansion and Knowledge Transfer
- Document and transfer operational, sales, lead management, and customer service learnings to support expansion into new markets.
- Maintain knowledge repositories, documentation, and reporting standards for market launches.
- Collaborate with cross-functional teams on operational readiness and track implementation milestones.
Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or a related field.
- At least 3 years of experience in data analytics, business intelligence, or a related role.
- Experience in Life Insurance, Financial Services, or a regulated industry is preferred.
Technical Skills
- Strong SQL skills, including Microsoft SQL Server and T-SQL.
- Experience using Python for data analysis, reporting, and automation.
- Proficiency with Power BI and/or Tableau.
- Experience with Databricks, predictive analytics, automated reporting, dashboards, ETL processes, and advanced Microsoft Excel.
- Working knowledge of AI and machine learning concepts.
Core Competencies
- Strong analytical and problem-solving skills.
- Ability to translate complex data into actionable business insights.
- Excellent communication and stakeholder management skills.
- Strong attention to detail, data quality focus, business acumen, and ability to manage multiple priorities.
Workplace
- Hybrid role with three days in the office and two days working from home.
Benefits
- Four weeks of vacation and ten paid sick days per year.
- Employer-paid health benefits from day one, including a $500 Healthcare Spending Account.
- Parental leave top-up, 5% RRSP matching after three months, learning opportunities, weekly lunches, and social events.
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