SAP Functional Analyst (CAR, PMR, OPPS)
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- Toronto, ON
- $100,000-140,000 per year
- Permanent
- Full-time
Location: Toronto
Salary Range: $100K-$140K
Job Type: Onsite, full-time, permanent
Posting Type: Open vacancyRole SummarySAP Functional Analyst focused on retail and omnichannel solutions, supporting the implementation and optimization of SAP modules including CAR, PMR, and OPPS. This role partners closely with business and technical teams to enhance inventory visibility, pricing strategies, and customer engagement across the organization.You’ll play a key role in delivering scalable SAP solutions, driving process improvements, and supporting large-scale transformation initiatives in a fast-paced environment.Key Skills:- SAP CAR, PMR, OPP & OPPS configuration and support
- Strong experience in SAP integrations (e.g., IDocs, SLT replication)
- Business process analysis, optimization, and automation
- Functional design documentation and system configuration
- End-to-end testing (Unit, Integration, UAT)
- Incident management, troubleshooting, and user support
- Cross-functional collaboration with business and IT stakeholders
- Experience working in Agile delivery environments
- Retail / consumer goods domain knowledge (inventory, pricing, promotions)Qualifications:- 3+ years of experience as an SAP Functional Analyst (or similar)
- Hands-on experience implementing and supporting SAP retail modules
- Experience working on enterprise or large-scale transformation programs
- Bachelor’s degree in Computer Science, Business, Information Systems, or related field
- SAP certifications (CAR, PMR, OPPS) are an asset
- ITIL or similar service management certification is a plus
- Exposure to integrated enterprise systems (e.g., merchandising, CRM, supply chain platforms)
- Strong understanding of data governance and digital transformation initiativesPlease send your resume in Word format to Shannon Scullion at .REFER A NEW HIRE AND EARN A CASH BONUS! For details, .All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.