Senior Data Management Analyst

RBC•Mississauga, ON

4d•Onsite

About The Position

Join the Incentive Compensation Delivery (ICD) Team as a Senior Data Management Analyst and shape critical operational decisions relating to Salesforce employees' experience across RBC’s Personal Banking, Commercial Banking and Wealth Management. The ICD team—80+ employees based in Meadowvale, Mississauga and Minneapolis —administers, reports on, and processes over $5 billion in variable compensation annually across 36 professional sales roles. As part of the Process, Risk and Operational Intelligence team within ICD, you’ll work alongside colleagues who share a commitment to operational excellence, data integrity, and strategic compensation delivery. This is a collaborative environment where your contributions directly support organizational goals. In this role, you’ll bridge the gap between raw operational data and strategic decision-making, ensuring our compensation programs remain aligned with business objectives. Your insights will directly influence how we allocate resources, optimize program delivery, and support thousands of Salesforce employees across North America. This role offers career growth in a dynamic HR function. You’ll work with critical information, collaborate across business and technology teams, and develop innovative solutions that directly impact ICD strategy. If you’re a strategic thinker with strong communication skills and a passion for data-driven decision-making, we want to hear from you.

Requirements

A self-starter with high energy and a driven curiosity to go beyond the obvious and provide ideas for innovation
3–5 years of professional experience in data engineering, analytics, reporting, or related role
Strong analytical and statistical skills; ability to investigate and explain trends and variances
Proficiency in data manipulation language (Python, SQL, etc.)
Technical fluency with analytics and reporting tools (Tableau, Power BI, Snowflake)
Experience with AI/agent frameworks
Expert knowledge of data governance frameworks and authoritative data source management
Proven ability to communicate technical concepts clearly to business leaders
Ability to prioritize multiple tasks and adapt to changing priorities in a collaborative environment

Nice To Haves

Experience building and using AI/ML models, predictive analytics or statistical modeling to solve business problems
Knowledge of Confluence

Responsibilities

End-to-end analytics support for cross-functional initiatives, including data sourcing, lineage validation, and quality assessments
Analyze structured and unstructured datasets to solve complex business problems and develop scalable, verifiable solutions
Ensure data governance and compliance with enterprise standards and data management frameworks
Communicate complex technical insights to non-technical stakeholders to facilitate decision-making
Work independently to identify blockers, develop solutions, and escalate issues appropriately