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Senior Risk Business Data Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Sun Life
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, IT Business Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 128000 CAD Yearly CAD 80000.00 128000.00 YEAR
Job Description & How to Apply Below

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

At Sun Life, we're driven by our

Purpose:

helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

About

The Role

At Sun Life, we work together, share common values and support growth and achievement. Corporate Risk Operations helps protect and enhance stakeholder value by enabling effective risk management practices across business segments.

As part of this team, you will help drive change, innovation and operational excellence. You will support risk management practices, contribute to digital solutions, including AI-enabled initiatives, and help the team deliver practical improvements in a fast-changing environment.

What You Will Do

As a Senior Risk Business Data Analyst, you will play a key role in connecting business needs with effective delivery. You will combine business analysis expertise, data fluency, technical acumen, risk awareness and strong facilitation skills to support quality solutions aligned with business objectives and risk expectations.

You will work closely with the Product Owner, business stakeholders, data enablement partners, AI and Generative AI teams, technology teams, vendors and cross-functional delivery teams to define clear requirements and support successful outcomes.

You will translate business objectives into requirements, user stories, data attributes, data integration considerations, source-to-target mapping expectations, validation criteria and delivery-ready backlog items. You will also support Agile ceremonies, help manage priorities and contribute to solutions that align with business goals, risk management expectations and operational readiness.

Key Responsibilities
  • Lead and facilitate requirement discovery sessions with stakeholders at all levels, ensuring scope, objectives, assumptions, dependencies, risks, success criteria and data impacts are clearly understood and documented.
  • Elicit, analyze, validate and communicate business, functional, non-functional, data, reporting, analytics and compliance requirements in a clear and practical way.
  • Partner with the Product Owner to define, refine and prioritize Agile backlog items, including epics, user stories, acceptance criteria, data requirements, dependencies, business value and release considerations.
  • Support Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, retrospectives, backlog refinement and roadmap discussions, with a focus on business readiness, data readiness and value delivery.
  • Translate business needs into data attributes, source-to-target mapping considerations, reporting needs, data validation expectations, data quality requirements and technical specifications that can be understood by data engineering, development and IT partners.
  • Analyze business processes, systems, data flows, operational pain points and source-system dependencies to identify opportunities for process improvement, optimization, automation, analytics enablement and innovation.
  • Partner with business users, peers, vendors, technology partners, data engineering, development, QA, project managers and leadership teams to plan, implement, test, roll out and support new or enhanced applications, data solutions, reporting capabilities and processes.
  • Validate delivered solutions against business requirements, data…
Position Requirements
10+ Years work experience
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