Senior Data Analyst, Client Acquisition Analytics

Jobtailor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Sun Life is seeking a data analyst to partner with business units, turning requirements into data-driven insights and dashboards. You will work across the organization to optimize reporting, forecast sales, and measure performance through KPIs.

The role emphasizes storytelling with data and rapid learning of new tools. The ideal candidate has 5+ years in data analytics, strong SQL/PySpark skills, and experience with AWS services and Tableau or equivalent visualization tools.

Qualifications

• 5+ years of experience with data analytics including handling, manipulation, hypothesis testing, data modelling and data visualization.
• 5+ years experience with SQL, PySpark and other programming languages.
• Proficient in writing complex SQL queries to extract and integrate data from multiple sources.
• 2+ years with AWS Cloud Services (e.g. Glue, S3, Athena, Quick Suite).
• 2+ years of experience with Tableau or other visualization tools.
• Experience storytelling to share data-driven insights clearly.
• Strong partnering approach and ability to meet business needs.
• Prioritization, planning and change management in fast-paced environments.
• Able to learn new applications quickly and document work.

Responsibilities

• Identify complex business problems with business partners and provide data-driven solutions.
• Analytic work from requirements to presentations to solve business problems.
• Act as SME in prospect, client, and advisor data across Sun Life.
• Support to uncover opportunities driving incremental sales.
• Develop metrics and KPIs to measure performance of analytics initiatives.
• Support annual business plan, monthly sales forecast, and insight analysis.
• Operationalize reporting and synthesize key metrics into dashboards to monitor performance.
• Perform reporting automation and promote analytics-driven decision making.

Skills

Data Analysis

SQL Programming

PySpark

Data Visualization

Data Storytelling

KPI Development

Dashboard Creation

Reporting Automation

Quantitative Analysis

Tools

AWS Glue

AWS S3

AWS Athena

AWS Quick Suite

Tableau

Job description

• Work closely with business partners to identify complex business problems to solve and provide data driven solutions.
• Analytic work from requirements specification, data gathering, analysis to presentations in order to solve business problems.
• Work with stakeholders across Sun Life as a subject matter expert in the prospect, client, and advisor data
• Ongoing support to uncover opportunities that will drive incremental sales.
• Develop metrics and KPIs to measure the performance of analytical and data products in the overall portfolio.
• Provide support for annual business plan, monthly sales forecast, and insight analysis.
• Operationalize reporting processes and synthesize key metrics into impactful and insightful dashboards to monitor and assess the success of the business initiatives/performance.
• Perform reporting automation, self-serve analytics enablement, and promote the culture of analytics-driven decision making.

Requirements

• 5 + years experience working with data (i.e., quantitative analysis experience, including handling, manipulating, and analyzing data, hypothesis testing, data modelling and data visualization)
• 5 + years experience with SQL, PySpark and other programming languages.
• Comfortable writing accurate, efficient, but complex SQL queries to extract and integrate data from multiple database sources.
• 2+ years of experience with AWS Cloud Services (e.g. Glue, S3, Athena, Quick Suite)
• 2+ years of experience working with Tableau or other visualization tools
• Experience using oral and written storytelling to share data driven insights in a clear, succinct manner.
• Strong partnering approach with a commitment to meeting business partners' unique needs and expectations.
• In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment.
• Comfortable learning new applications and processes quickly with minimal direction
• Ability to document work.

Core Competencies

Demonstrates expertise in data analysis, SQL, and data visualization to drive business insights and support decision-making. Proficient in operationalizing reporting processes and developing metrics to measure performance across business initiatives.

Highest-signal resume keywords

• Data Analysis
• SQL Programming
• AWS Cloud Services
• Tableau Visualization
• Data Storytelling

ATS Optimization Keywords

Hard Skills

• Quantitative Analysis
• Data Manipulation
• Hypothesis Testing
• Data Modelling
• Data Visualization
• SQL
• PySpark
• Reporting Automation
• KPI Development
• Dashboard Creation

Soft Skills

• Strong Partnering Approach
• Prioritization
• Planning
• Change Management
• Effective Communication

Industry Keywords

• Data-Driven Solutions
• Business Insights
• Sales Forecasting
• Performance Metrics
• Analytics-Driven Decision Making

Tools & Technologies

• AWS Glue
• AWS S3
• AWS Athena
• AWS Quick Suite
• Tableau