Distribution Performance Analyst

West Marine•Rock Hill, SC

About The Position

Performance Monitoring & Reporting (40%): Monitor daily and weekly performance metrics across all DC operational categories including Safety, Quality, Delivery, Cost, and Culture (SQDCC) Track key performance indicators (KPIs) such as order accuracy, on-time shipment, labor productivity, inventory accuracy, units per hour, and cost per unit shipped Maintain and update performance dashboards in Power BI, Looker, or other business intelligence platforms Generate standardized daily, weekly, and monthly performance reports for DC leadership and functional managers Support Op Ex reporting cadence with timely data compilation and Sr Leadership-ready presentations Identify performance variances and flag anomalies requiring immediate attention or investigation Create visual scorecards and performance summaries for shift meetings, leadership huddles, and monthly business reviews Data Analysis & Trend Identification (30%): Extract operational system data for comprehensive analysis Perform advanced data manipulation and analysis in Microsoft Excel including pivot tables, complex formulas, and statistical analysis Conduct trend analysis to identify patterns in operational performance across shifts, departments, product categories, and time periods Analyze historical data to forecast future performance and capacity requirements Identify correlations between operational variables (e.g., staffing levels vs. productivity, order volume vs. accuracy) Develop predictive insights to support proactive decision-making and resource planning Benchmark performance against internal targets, historical baselines, and industry standards Root Cause Analysis & Problem Solving (20%): Investigate recurring operational issues and performance gaps using structured problem-solving methodologies Conduct deep-dive analysis on systemic problems including chronic pick exceptions, delivery delays, quality defects, and productivity challenges Collaborate with operational teams to gather context, validate data findings, and understand process constraints Document root causes with supporting data evidence and present findings to leadership Develop data-driven recommendations for corrective actions and process improvements Track effectiveness of implemented solutions through before-and-after performance comparisons Support continuous improvement initiatives with analytical insights and measurement frameworks Respond to ad hoc analysis from DC leadership with timely and accurate insights Business Intelligence & Visualization Development (10%): Partner with BI architect and IT teams to identify dashboard and reporting enhancement opportunities Define requirements for new visualizations, metrics, and reporting capabilities based on operational needs Test and validate new reports and dashboards to ensure data accuracy and usability Train end-users on accessing and interpreting dashboard data Maintain documentation of data sources, calculation methodologies, and report specifications Recommend automation opportunities to streamline manual reporting processes Translate complex data analysis into clear, actionable recommendations for non-technical audiences Serve as subject matter expert on performance metrics, data definitions, and reporting capabilities

Responsibilities

Monitor daily and weekly performance metrics across all DC operational categories including Safety, Quality, Delivery, Cost, and Culture (SQDCC)
Track key performance indicators (KPIs) such as order accuracy, on-time shipment, labor productivity, inventory accuracy, units per hour, and cost per unit shipped
Maintain and update performance dashboards in Power BI, Looker, or other business intelligence platforms
Generate standardized daily, weekly, and monthly performance reports for DC leadership and functional managers
Support Op Ex reporting cadence with timely data compilation and Sr Leadership-ready presentations
Identify performance variances and flag anomalies requiring immediate attention or investigation
Create visual scorecards and performance summaries for shift meetings, leadership huddles, and monthly business reviews
Extract operational system data for comprehensive analysis
Perform advanced data manipulation and analysis in Microsoft Excel including pivot tables, complex formulas, and statistical analysis
Conduct trend analysis to identify patterns in operational performance across shifts, departments, product categories, and time periods
Analyze historical data to forecast future performance and capacity requirements
Identify correlations between operational variables (e.g., staffing levels vs. productivity, order volume vs. accuracy)
Develop predictive insights to support proactive decision-making and resource planning
Benchmark performance against internal targets, historical baselines, and industry standards
Investigate recurring operational issues and performance gaps using structured problem-solving methodologies
Conduct deep-dive analysis on systemic problems including chronic pick exceptions, delivery delays, quality defects, and productivity challenges
Collaborate with operational teams to gather context, validate data findings, and understand process constraints
Document root causes with supporting data evidence and present findings to leadership
Develop data-driven recommendations for corrective actions and process improvements
Track effectiveness of implemented solutions through before-and-after performance comparisons
Support continuous improvement initiatives with analytical insights and measurement frameworks
Respond to ad hoc analysis from DC leadership with timely and accurate insights
Partner with BI architect and IT teams to identify dashboard and reporting enhancement opportunities
Define requirements for new visualizations, metrics, and reporting capabilities based on operational needs
Test and validate new reports and dashboards to ensure data accuracy and usability
Train end-users on accessing and interpreting dashboard data
Maintain documentation of data sources, calculation methodologies, and report specifications
Recommend automation opportunities to streamline manual reporting processes
Translate complex data analysis into clear, actionable recommendations for non-technical audiences
Serve as subject matter expert on performance metrics, data definitions, and reporting capabilities