Business Intelligence & Performance Analytics Manager

The Manager Business Intelligence & Performance Analytics serves as the strategic analytics responsible for transforming raw retail inventory and manpower data into meaningfulbusiness insights. The role oversees inventory intelligence manpower planning analytics and retailperformance monitoring supporting operational decisions through forecasting scenario modeling androot-cause analysis. This position manages enterprise dashboards ensures data accuracy andgovernance consolidates performance reporting across all RCOE pillars and conducts market andcompetitor benchmarking to guide commercial and store strategies.

Key Responsibilities:

Retail Data Analysis Inventory Intelligence and Insights Development

• Leads end-to-end analysis of retail KPIs and converts trends into actionable insights for RCOEdecision-making.
• Oversees all inventory management data including stock movement replenishmentperformance stockouts/overstocks aging items variances and shrinkage. Provides clearinsights and recommendations to improve inventory health and availability.
• Develops and maintains dashboards that track inventory health manpower productivity storeperformance drivers and other critical retail indicators.
• Conducts deep-dive analytics and scenario modeling (e.g. productivity labor efficiencyreplenishment cycles category performance) to support strategic projects and operationalimprovements.
• Leads manpower planning analytics including FTE forecasting labor productivity ratios staffingscenarios and store manpower requirement validation.
• Drives manpower control and headcount budget planning ensuring staffing proposals align withlabor budgets productivity targets and cost parameters.
• Consolidates and validates data across multiple systems to provide accurate decision-readyinsights.

Performance Monitoring and Reporting

• Develops automates and manages performance dashboards for RTM leadership AreaManagers and RCOE units.
• Consolidates daily weekly and monthly performance reports across pillars (CustomerExperience Merchandising Supply & Availability Innovations & Systems Improvement).
• Ensures accuracy timeliness and consistency of performance reporting across all businessunits.

Data Management Governance and Quality Control

• Establishes standards for data accuracy completeness validation and integrity across RTM datasources.
• Oversees the maintenance of analytics databases KPIs trackers and data repositories.
• Works with IT and relevant teams to improve data pipelines availability and accessibility.

Business Partnering & Cross-functional Collaboration

• Partners closely with RCOE units Retail Operations ITDM Warehouse Finance and HRBP toalign insights validate assumptions and support joint initiatives.
• Translates analytics insights into operational recommendations (e.g. manpower planning stockavailability POS behavior store patterns promotional impact).
• Supports the implementation of insights-driven strategies and monitors impact and performance.

Market Intelligence & External benchmarking

• Monitors market trends competitor behavior consumer patterns and retail benchmarks.
• Provides intelligence reports that support category decisions pricing strategies and storeoperations planning.

Team Leadership and Capability Building

• Leads data analysts providing guidance on methodologies analytics approach and quality ofoutput.
• Builds analytics capability across RCOE and Retail Operations through training on data literacydashboard usage and interpretation of KPIs.
• Establishes work standards templates and repeatable processes for analytics reporting.

Continuous Improvement & Systems Enhancement

• Identifies opportunities to automate reporting streamline data collection and use new tools
• (Power BI SQL cloud-based platforms).
• Drives adoption of structured KPI frameworks across RTM to ensure consistent businessmonitoring.
• Recommends system enhancements and tools to improve analytics maturity.

Qualifications:

• Bachelors degree in Statistics Mathematics Data Science Economics Computer Science orany related field.
• Minimum of 5 years experience in business intelligence data analytics or performance reporting.
• Proficient in BI and analytics tools (e.g. Power BI Excel Pivot & Power Query SQL).
• Strong background in data modeling dashboard creation and KPI reporting.
• Ability to interpret large datasets and produce clear insights for decision-making.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills; able to simplify complex data.
• High attention to detail accuracy and data integrity.
• Collaborative mindset; able to work effectively with cross-functional teams.
• Proactive results-oriented and able to manage multiple priorities.
• May be required to travel to stores and business locations nationwide to support projectimplementation on-ground assessments and strategic initiatives.