Logistics Data Analyst

Role: Logistics Data AnalystReports to: Senior Manager – Supply Chain & LogisticsStatus: Full-Time, RegularDivision: Enercare Home and Commercial ServicesLocation: Markham (Birchmount)Compensation:  $69,136 - $110,618 About the Role Reporting to the Senior Manager – Supply Chain & Logistics, the Logistics Data Analyst plays a critical role in transforming warehouse, distribution, and parts data into insights that drive measurable operational improvements. This role supports Enercare’s supply chain strategy by developing dashboards, analyzing operational performance, improving inventory accuracy, and enabling data-driven decision-making across logistics operations.You bring strong analytical rigor, curiosity for operational processes, and the ability to convert complex datasets into meaningful recommendations.Accountabilities Own performance management reporting: Build and maintain dashboards covering inventory accuracy, cycle-count compliance, dock-to-stock, pick accuracy, fill rate, OTIF, backorder rate, cost per order, and safety indicators. Advance inventory accuracy: Redesign and manage ABC, control-group, and random cycle‑count programs; conduct gap analysis; set counting frequencies; and provide SOP updates to improve accuracy trends. Analyze warehouse & distribution material flow (receiving → put-away → storage → pick/pack/ship) to identify bottlenecks, reduce cycle times, and recommend process changes. Lead parts & field (truck stock) analytics: Conduct usage modeling, min/max optimization, seasonality review, replenishment cadence evaluation, and recommend standard truck lists aligned to 80/20 principles. Develop supplier performance scorecards for on-time, in-full (OTIF) delivery, lead‑time adherence, defect rates, and other supplier quality metrics to support sourcing and vendor performance management. Enable digital reporting and automation: Connect ERP/WMS/TMS systems to Power BI, build SQL-based data models, and use Python for data transformation, automation, and exception detection. Support continuous improvement and 5S initiatives: Translate KPI signals into standard work, visual management, and localized CI actions; monitor 5S audit performance and support sustainment. Monitor data products: Validate and refresh automated datasets, dashboards, and analytical tools to ensure data reliability and timely usage across the organization. Deliver high-quality ad hoc analytics: Provide decision-grade insights to support operations, supply planning, procurement, and field services; collaborate closely with cross‑functional partners. KPIs You Will Influence Inventory accuracy (%), cycle‑count compliance, and variance closure time Fill rate / OTIF, backorder rate, order accuracy, dock‑to‑stock cycle time Parts replenishment stability, min/max adherence, emergency orders per week POT% (Parts on Truck) – Target ≥ 65% Improvements correlated to First-Time-Fix Rate through optimized truck stock and availability Qualifications Bachelor’s degree in Supply Chain, Operations, Industrial Engineering, Business Analytics, Data Science, or a related discipline. 4–7+ years of experience in warehouse, distribution, or inventory analytics with a demonstrated history of improving operational KPIs. Proficiency with ERP/WMS systems (SAP, Oracle, or similar), Power BI, advanced Excel, SQL, and preferably Python for data manipulation and automation. Experience cleaning, transforming, and analyzing large operational datasets. Strong problem-solving skills with the ability to develop structured, pragmatic, and actionable analytical approaches. Excellent verbal and written communication skills, able to convey insights to both technical and non-technical stakeholders. Knowledge of logistics operations including inventory control, replenishment, receiving, picking, shipping, and supplier performance management. Familiarity with Lean principles, 5S, and continuous improvement methodologies.