Business Systems Analyst

Role Title - Business Systems Analyst (BSA) Retail Product Content & Analytics
Location - Toronto ON

Role Summary

The Business Systems Analyst (BSA) will support digital transformation initiatives by bridging Product Merchandising Content and Technology teams. This role requires strong retail domain expertise a product centric mindset and hands on Power BI analytics experience to enable insight driven decision making across assortment pricing inventory and product content.

The successful candidate will play a key role in ensuring high quality trusted product and content data flows seamlessly across enterprise systems digital channels and analytical platforms supporting both in store and omnichannel experiences.

Key Responsibilities

Retail Product & Business Analysis

• Partner with Product Management Merchandising Pricing Supply Chain and Digital teams to understand retail strategies product objectives and operational needs.
• Translate business and product needs into clear functional data and reporting requirements including user stories and acceptance criteria.
• Support initiatives across the product lifecycle including assortment planning SKU onboarding pricing and promotion changes and product rationalization.
• Analyze impacts of changes across core retail digital and analytics ecosystems ensuring alignment with enterprise standards.

Product Content Management (PCM / PIM)

• Support product content management capabilities including product attributes hierarchy digital content and enrichment processes.
• Work with business and technology teams to define requirements for product data consistency and completeness across systems such as PIM/PCM platforms and downstream analytical systems.
• Ensure alignment of product content definitions hierarchies and metadata to support search browse and reporting use cases.
• Partner with data and digital teams to improve product content quality governance and lifecycle controls.

Analytics & Power BI

• Design develop and maintain Power BI dashboards and reports focused on product performance sales margin inventory and content completeness.
• Collaborate with data engineering and analytics teams to define KPIs metrics and semantic models.
• Deliver executive ready insights for senior leadership ensuring clarity accuracy and actionable outcomes.
• Enable self service analytics through effective documentation metric definitions and report enablement.

Stakeholder & Delivery Management

• Act as a trusted advisor to business stakeholders by challenging assumptions identifying gaps and proposing practical data driven solutions.
• Facilitate workshops and working sessions to align on product content and analytics requirements.
• Ensure adherence to data quality governance security and non functional requirements across solutions.

Required Qualifications

• 8 years of experience as a Business Systems Analyst / Business Analyst within a retail or consumer facing enterprise environment.
• Strong understanding of retail product domains including assortment pricing promotions inventory and product hierarchies.
• Demonstrated experience supporting Product Content Management (PCM / PIM) or product data capabilities.
• Proven hands on Power BI expertise including:
  • Dashboard and report development
  • Data modeling and DAX
• Strong ability to translate complex business needs into functional data and analytics requirements.
• Excellent communication skills with experience engaging cross functional teams and senior leadership.

Preferred Qualifications

• Experience within large scale retail organizations and multi banner environments.
• Familiarity with product centric Agile teams and modern delivery practices.
• Experience working with enterprise data platforms data warehouses or cloud analytics ecosystems.
• Exposure to digital commerce product search or content enrichment processes.

Key Competencies

• Product first and customer centric mindset
• Strong analytical thinking and problem solving
• Ability to bridge retail business product content and technology perspectives
• Clear executive level communication
• Strong focus on data quality governance and usability