DB Data Analyst

TELUS Health is empowering every person to live their healthiest life. Guided by our vision, we are leveraging the power of our leading edge technology and focusing on the uniqueness of each individual to create the future of health. As a global-leading health and well-being provider – encompassing physical, mental and financial health – TELUS Health is improving health outcomes for consumers, patients, healthcare professionals, employers and employees.

• →Deliver complex Defined Benefit (DB) services – perform and collect data from various sources, maintain databases and system information to ensure data accuracy for web performance and intricate transactions.
• →Interpret plan provisions & regulatory requirements – apply detailed plan documents, industry regulations, and tax implications to ensure accurate outcomes.
• →Analyze participant‑level data – investigate and resolve data discrepancies, identify root causes, and present feasible solutions promptly.
• →Collaborate cross‑functionally – partner with Actuarial, Payments, Technical Support, Client Services, plan administrators, and other internal stakeholders to enhance system capabilities, improve data accuracy, and boost client satisfaction.
• →Support audits & compliance – assist with audit requests, reporting needs, compliance activities, and continuous quality control.
• →Identify process improvements – recommend workflow enhancements, troubleshoot problems, and drive productivity and efficiency gains.
• →Manage special projects – take on project leadership or special assignments, including system updates, data modifications, and one‑off analytical tasks.

• Bachelor’s degree preferred, or equivalent work experience.
• Minimum 2–3 years in retirement, group benefits administration, insurance, or HR consulting; 3 + years of client‑service experience preferred.
• In‑depth knowledge of Defined Benefit products and services; experience with non‑qualified plans (cash‑balance, QDROs, etc.) is a significant asset.
• Advanced Excel proficiency (large files, complex formulas, links, macros) and strong relational‑database query skills.
• Comfortable with data analytics, reporting, and building executive‑level dashboards.
• Strong math skills with meticulous attention to detail.
• Excellent written and verbal communication; proven ability to convey complex information to internal and external stakeholders.
• Ability to prioritize, multi‑task, and meet tight deadlines while maintaining confidentiality and professionalism.
• Adaptable, flexible, and driven to deliver results in a fast‑paced environment.

• Experience with major plan transitions (mergers, freezes, conversions, system migrations).
• Advanced data‑analytics skills, including trend analysis of calculation errors or participant outcomes.