Relex Sytem Analyst

The Relex System Analyst ensures the data and systems that power PriceSmart's supply chain planning platforms — with Relex as the core system of focus — operate reliably, accurately, and efficiently across the region. This role requires deep, hands-on functional and technical knowledge of the Relex platform and focuses on data quality, system performance, and integration health to enable accurate demand forecasting, replenishment, and allocation processes.You will analyze and troubleshoot data flows into and out of Relex and related logistics systems, support root-cause analysis of data and integration issues, help safeguard data integrity, and assist in validating end-to-end changes in collaboration with IT and business teams.
This role partners closely with the Product Owner and business planning teams but does not own product roadmap or prioritization decisions. Over time, the role supports professional growth into more senior Relex/Systems Analyst, Product Owner, or Data Engineering pathways, as functional and technical knowledge of the Relex platform deepens.
System Stability & SupportTroubleshoot and resolve data and integration issues in Relex and related supply chain/logistics systems (WMS, TMS, GTM, SCI, ERP).Ensure the accuracy, completeness, and timeliness of data feeding Relex forecasting, replenishment, and allocation modules.Validate data changes and interface mappings across environments and system integrations.Monitor system performance and proactively identify potential issues affecting planning outcomes.Continuous ImprovementAnalyze data quality issues and forecasting/replenishment pain points, and propose improvements to Relex configuration, master data, or upstream data feeds.Recommend automation and data validation routines to reduce manual data reconciliation and operational waste.Configure, validate, and maintain Relex parameters, business rules, and planning settings.Support testing and deployment of Relex upgrades, enhancements, and new functionalities.Cross-functional CollaborationPartner with supply chain, operations, and product teams to clarify data and reporting needs, and validate that Relex outputs meet business requirements.Align data definitions and system behaviors with standard planning processes across regions.Knowledge ContinuityDocument Relex data flows, integrations, configurations, and SOPs to eliminate single-points-of-failure.Support onboarding and cross-training of teammates on Relex data structures and processes.Translate business requirements into functional and technical specifications.Governance & Change ReadinessEnsure compliance with release standards, regression testing, and data validation checks for Relex and related system changes.Support decision forums for deployment timing and data/integration risk assessment.Promote best practices for data governance and planning processes.

Qualifications2-3 years of experience as a Systems/Data Analyst supporting supply chain planning, forecasting, or replenishment functions.Minimum 2 years of hands-on, production experience with Relex Solutions is mandatory — this is a required qualification, not a preference (direct experience configuring, supporting, or troubleshooting Relex demand forecasting, replenishment, allocation, or supply planning modules). Candidates without verifiable Relex experience will not be considered.Strong analytical skills with SQL, data modeling, data flows, and integration debugging.Familiarity with related logistics/supply chain systems (WMS, TMS, ERP, or SCI/GTM) and how they exchange data with Relex.English working proficiency required for cross-regional coordination.Experience with data warehouse such as Snowflake, SQL Server, Oracle, or PostgreSQL.Understanding of APIs, data pipelines, and system integrations as Azure Data FactoryKnowledge of Python or R for advanced analytics and automation is highly desirable.Familiarity with Agile methodologies and project delivery.Familiarity with DevOps and CI/CD practices supporting enterprise applications and data platforms.

Success MetricsFaster resolution of Relex data and system incidentsReduction of manual work via improvement proposalsDocumentation completeness and shareabilityIncreased operational readiness and fewer rollout issuesStrong collaboration feedback from business usersImprove retail KPIs scores such as Forecast Accuracy, Service Level, Fill Rate, Inventory Turns, and Out-of-Stock rates.Reduction in Data Quality Issues