Data Analyst

• Responsible for the maintenance analytical solutions for the Sun Life High Net Worth team
• Maintain existing reports, dashboards and documentation
• Participate in a range of data and analytics initiatives across Sun Life High Net Worth by supporting testing and validation activities

Student Data Analyst, Fall 2026

• Own end‑to‑end analytical domains across FinOps, including data sourcing, modeling, and outputs
• Consolidate multiple financial and technology data sources into single, consistent analytical views
• Develop, maintain, and enhance financial, cost, and unit‑economics models
• Deliver executive‑ready analytics and insights to support decision‑making
• Define and maintain data quality, validation, and analytical standards
• Partner with Finance, Technology, and Business stakeholders to align metrics, assumptions, and definitions
• Support continuous improvement of FinOps analytical capabilities and tooling

Senior Financial Data Analyst – FinOps

• Lead the design and delivery of end-to-end analytics solutions, from raw data acquisition and transformation through to dashboarding, business insight generation, and user adoption
• Translate complex business questions into scalable data, reporting, and analytical solutions
• Ensure analytics outputs are accurate, well-governed, and aligned with business priorities
• Work with raw and curated data from multiple internal and external sources to create scalable, high-quality datasets for reporting and analysis
• Write and optimize SQL queries in Snowflake and other cloud-based environments
• Partner with data engineering and data squad teams to improve data pipelines, controls, and analytical data models
• Lead the design and implementation of high-impact Power BI dashboards for portfolio managers, actuaries, finance, risk, and senior leadership
• Develop forecasting and modeling solutions to support business needs, including balance sheet analysis, inflow/outflow projection, and related decision-support analytics
• Partner with senior stakeholders across investment, actuarial, finance, risk, and product teams to identify opportunities where analytics can drive better decision-making
• Help build a strong analytics culture grounded in curiosity, ownership, and practical problem-solving.

Manager, Data Analytics

• Assist in the development and delivery of data product solutions including building, customizing, and management of data pipelines, data integration tools, databases, data warehouses, and analytical systems
• Lead “data hygiene” effort in on our CRM system to ensure accurate quality data
• Develop and maintain data pipelines for extracting, transforming, and loading data across SQL Server, SAS, and Snowflake
• Write efficient SQL queries and Python scripts to automate workflows and ensure data quality
• Use in-house applications to process trades and monitor settlement workflows
• Leverage tools such as Eagle, Charles River, Bloomberg, and Excel for data analysis and reporting
• Support testing requirements for data products and services including testing automation
• Support the development and execution of strategic initiatives in collaboration with internal and external stakeholders using our software development life cycle (SDLC)
• Design, develop, implement, and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities
• Process security, product and employee set up on Eagle system
• Collaborate with engineers, analysts, and AI practitioners to prepare high-quality data for advanced analytics and business use cases
• Review data quality monitors daily and address data quality issues with data stakeholders
• Analyze data and data workflows to improve data quality
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data infrastructure

Wealth Management, Fall Data Analyst

• Work within a dynamic environment where you are encouraged to aid in process improvement and work with autonomy.
• Develop and Review processes and procedures
• Support and assist with new and renewal licensing applications
• Create and maintain all client and licensing records in applicable systems
• Collaborate and support the Channel Design and Initiative Delivery team on projects impacting the group distribution channel
• Review and clean up data within the Salesforce platform to improve platform efficiency
• Perform data classification review and updates for Insurance's applications/systems
• Gain hands-on exposure to the processes involved in transitioning products from development to production, including release planning, UAT (User Acceptance Testing), and post-production validation.
• Design and implement data-driven solutions to support the CIO office's strategic initiatives.
• Ensure alignment with the Enterprise data classification as outlined in the Enterprise Data Security Standards.
• Actively participate in the development and/or monitoring of controls to support compliance requirements and risks identified.
• Document processes or upgrade existing procedure manuals.
• Collaborate with internal teams, including IT, operations, and product development, to ensure timely resolution of issues and continuous improvement of applications.

Business and Data Analyst, Insurance

• The AVP, Data Analytics for Canadian Operations represents a strategic opportunity to lead and transform the data analytics function for Canadian Operations.
• Develop and maintain comprehensive data analytics strategy aligned with Canadian Operations objectives, balancing quick wins with long-term capability building.
• Evaluate and prioritize analytics opportunities to maximize business value and drive thought leadership in data-driven problem solving.
• Partner with Sun Life Canada’s Client Experience Office to align with overall Canada data and analytics strategy.
• Establish metrics and KPIs to measure analytics function performance and business impact.
• Maintain existing data infrastructure while leading transformation initiatives to modernize architecture and adopt cloud-based solutions.
• Implement robust data governance framework ensuring quality, accuracy, compliance, and audit-proof processes for internal and external stakeholders.
• Develop and enforce standards for data management, documentation, and controls.
• Lead BI function delivering timely, actionable insights through operational dashboards, scorecards, and trending reports.
• Manage reporting intake and prioritization from diverse stakeholders while creating self-serve analytics capabilities for power users.
• Transform complex operational data into clear visualizations supporting executive reporting and strategic planning.
• Partner with Data Science team in CXO and other analytics partners to leverage common capabilities and drive innovation.
• Apply AI, machine learning, and predictive modeling to operational challenges, proactively identifying automation and optimization opportunities.
• Develop and operationalize predictive models for capacity planning, volume forecasting, and demand management.
• Lead, coach, and develop diverse team, fostering high-performing culture focused on collaboration and innovation.

AVP, Data Analytics & Insights

• Are you passionate about using data and emerging technologies to improve public services? This role puts analytics and innovation at the heart of GoA contact centre operations.
• Reporting to the Manager, Contact Centre Business Support, the Data Analyst gathers, cleans, and maintains large volumes of contact centre data to ensure accuracy and usability for reporting, analytics, and AI-enabled tools.
• Enhancing the contact centre and reporting platforms, analyzing operational data to identify trends and opportunities for improvement, and defining and monitoring analytics and AI performance metrics.
• Developing and automating dashboards and reports that deliver actionable insights, communicating findings clearly to stakeholders, and working closely with technical teams on platform enhancements, agile projects, and continuous improvement initiatives.

Contact Center Platform Data Analyst

• Lead insight programs and analytics workstreams for a key category, translating consumer, shopper, market, and commercial signals into clear, decision-ready recommendations.
• Connect multiple data sources into compelling narratives that guide brand strategy, portfolio choices, and activation plans.
• Collaborate closely with Category, Brand, Commercial, and Finance teams to ensure insights drive measurable growth, stronger investment decisions, and long-term value.
• Design and deliver end-to-end category learning agendas across brand, shopper, customer, and innovation, ensuring insights answer priority business decisions.
• Apply Essity CoE methodologies and unified KPI logic to ensure outputs are robust, comparable, and decision-ready.
• Manage research agencies and data partners, defining scopes of work and ensuring quality delivery on time and within budget.

Senior Insights & Analytics Manager

• Build database queries to acquire information from the electronic health record, according to REB-approved case-report forms and research protocols
• Process and clean the acquired data as needed according to the planned analyses
• Store and handle all data in a secure and REB-approved manner
• Collaborate with clinicians to troubleshoot queries and ensure that the queries return the expected information
• Advise collaborating investigators and trainees regarding potential statistical models based on their proposed research question or protocol
• Lead the drafting and creation of statistical analysis protocols
• Code and perform analyses according to protocols
• Fit models using a range of quantitative techniques ranging from machine learning to Bayesian analysis
• Craft tables, figures, and results according to research protocol specifications
• Collaborate with research teams to refine statistical analysis plans and outputs
• Support data analytical aspects of REB submissions
• Ensure maintenance of an accessible and organized code base to reduce duplication of effort and support principles of open science and reproducibility
• Provide orientation and training to new team members regarding the structure and operating procedures of the research team in regards to data analytics
• Support the preparation of grants and manuscripts by preparation of tables and figures, critical interpretation of results, crafting of methods section and limitations text
• Estimate the time requirements for proposed or future work relating to data analytics to support grant proposals and budgeting
• Support the overall academic development of SHN by providing data analytics and statistical feedback on academic work by trainees

Research Data Analyst – GEN

• Design, develop, and deliver high‑quality analytics solutions using Power BI, ensuring accuracy, reliability, and consistency of data and metrics.
• Apply effective data storytelling principles to transform complex information into clear, compelling, and decision‑ready insights.
• Partner with stakeholders to understand business context, ask the right questions, and translate analytical needs into meaningful dashboards and reports.
• Contribute to the evolution of the Data & AI Center of Excellence (CoE), helping shape standards, best practices, templates, and shared ways of working.
• Promote data governance concepts by reinforcing trusted metrics, clear definitions, consistent logic, and proper documentation.
• Support and advance data fluency and literacy across the organization by helping stakeholders better interpret, question, and use analytics effectively.
• Perform analytical investigations and root‑cause analysis to explain trends, variances, and anomalies in business performance.
• Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms.
• Demonstrate a strong understanding of Data Lakehouse concepts, with exposure to tools such as Databricks, Microsoft Fabric, or Microsoft Synapse Analytics, sufficient to collaborate effectively with engineering teams.
• Navigate and contribute within both Agile and Waterfall project environments, adapting communication and delivery style as needed.
• Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder confidence.
• Maintain strong, proactive communication with stakeholders and contribute to successful project outcomes.
• Stay current with analytics trends and Microsoft’s analytics ecosystem (Power BI, Lakehouse platforms, and related technologies), applying learnings pragmatically.

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