Senior Consultant in Mercer leading analytics for health and benefits programs, collaborating with teams to expand client solutions and revenue. Requires extensive experience in data analytics and consulting.
About the role
- Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.
Responsibilities
- Collaborate closely with Product Owners and business stakeholders to design and plan experiments, define requirements, assumptions, and limitations
- Explore and analyze experiment data to understand customer behaviour, usage patterns, and performance drivers
- Propose, design, and evaluate experiments and causal analyses to answer well-scoped business questions
- Create new projects and manage multiple analytical initiatives informed by experiment results and emerging insights
- Conduct deep dive analyses to uncover trends, friction points, and opportunities
- 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
- Use AI assisted tools to support data exploration, query development, and analytical workflows
- Communicate data analysis results, insights, and recommendations clearly to stakeholders
- Collaborate with fellow analysts to review results, refine methodologies, and strengthen analytical approaches
Requirements
- Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or other related programs
- Experience in data analysis or product analysis
- 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
- Experience analyzing and designing A/B experiments
- Proficiency using Microsoft Excel (Pivot Tables, Visualizations, Formulas) and Project Management software
- Ability to work independently and manage complex projects
- Strong interest in data analysis and a natural tendency to dig deeper into unexpected results
Benefits
- Comprehensive health and dental benefits, plus an additional Health Care 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)
- Casual work environment
- 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
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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