Workday Master Data & Automation Analyst

Loblaw Companies Limited•Brampton, ON

2d•CA$68,000 - CA$93,500

About The Position

As a Workday Master Data & Automation Analyst, you will work with Workday foundation data, reporting, data quality monitoring, data loads, documentation, issue tracking, automation opportunities, and practical AI enablement. Ideally, you are a Workday or HRIS analyst with experience in Workday foundation data and reporting, and practical exposure to using clean, trusted data to support AI enablement, decision-making, and automation across Workday and HR operations.

Requirements

1–2 years of experience with Workday, HR systems, HR data, or HR operations, with hands-on involvement in data governance, issue tracking, or data-quality activities.
Working knowledge of Workday foundation data, such as job profiles, job families, supervisory organizations, locations, positions, cost centers, reason codes, worker types, or employee types.
Experience building, modifying, or using Workday reports to extract and analyze data.
Basic awareness of Workday security and integrations, including how data access and downstream systems may be impacted by Workday data changes.
Familiarity with AI-assisted development or productivity tools such as Claude code, ChatGPT codex, GitHub Copilot, or similar tools.
Awareness or experience with building AI agents and workflow automations using tools such as Workato, Power Automate, or similar automation platforms.

Nice To Haves

Workday Pro Reporting or Workday HCM Core Pro certification is considered an asset.

Responsibilities

Help implement and maintain the Workday master data management and governance model, including data dictionary, data standards, ownership, quality rules, and issue tracking.
Build, modify, and maintain Workday reports and data-quality dashboards to monitor master data, identify issues, and track remediation progress.
Analyze Workday data using Excel and other approved tools to identify missing values, duplicates, inconsistencies, inactive values, and other data-quality risks.
Support approved Workday data load activities, including Enterprise Interface Builder preparation, validation, testing, and post-load review.
Support discovery and documentation of AI and automation use cases, including business problems, data inputs, data quality needs, process steps, risks, expected benefits, and responsible AI considerations.