Bachelor's degree in supply chain management, Operations, Industrial Engineering, Business Analytics, Data Science, or a related discipline.
4-7+ years of experience in warehouse, distribution, inventory, or supply chain analytics with proven results in improving KPIs.
Proficiency with ERP, WMS, and reporting systems; SAP experience is a strong asset.
Advanced Excel skills and experience with Power BI for data visualization.
Experience using SQL, Power Query, or similar data transformation tools is beneficial.
Strong problem-solving skills for developing actionable analytical approaches.
Excellent communication skills for presenting insights to diverse stakeholders.
Responsibilities
Develop and maintain operational dashboards and performance reports related to key logistics KPIs.
Transform large datasets into actionable insights for operational leaders and stakeholders.
Redesign inventory control programs and recommend improvements for accuracy.
Conduct analysis to identify bottlenecks in warehouse and distribution processes.
Monitor inventory movement and recommend actions to optimize service levels.
Conduct analytical reviews of truck stock and service parts for efficiency improvements.
Support continuous improvement initiatives by translating KPI trends into operational enhancements.
Benefits
Potential for bonuses based on individual performance and company results.
Opportunities for professional development and continuous improvement.
Flexible work environment adapting to organizational needs.
Supportive team culture focused on operational excellence.
Full Job Description
Role: Logistics Data Analyst Reports to: Senior Manager - Supply Chain & Logistics Status: Full-Time, Regular Division: Enercare Home and Commercial Services Location: Markham (Birchmount) Compensation: $69,136 - $110,618 Please note that the compensation range listed includes base salary and potential incentive pay. Incentives such as bonuses are not guaranteed and depend on individual performance and company results. Actual compensation within the range will be determined based on skills, experience, and qualifications. About the Role
Reporting to the Senior Manager - Supply Chain & Logistics, the Logistics Data Analyst plays a critical role in transforming warehouse, distribution, inventory, and service parts data into actionable 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, warehousing, and field service operations. The successful candidate brings strong analytical rigor, curiosity for operational processes, and the ability to convert complex datasets into meaningful recommendations that improve service levels, productivity, inventory management, and customer outcomes.
Accountabilities
Performance Management & Reporting
Develop, maintain, and continuously improve operational dashboards and performance reporting related to inventory accuracy, replenishment effectiveness, Parts on Truck (POT%), technician productivity, and other key logistics KPIs.
Transform large and complex datasets into actionable insights and recommendations for operational leaders and stakeholders.
Inventory Accuracy & Control
Redesign and manage ABC, control-group, and random cycle count programs; conduct gap analysis; establish counting frequencies; and recommend SOP improvements to improve inventory accuracy and compliance.
Support root-cause investigations and corrective actions related to inventory variances, stock discrepancies, and transaction integrity.
Warehouse & Distribution Analytics
Analyze warehouse and distribution material flow (receiving put-away storage picking packing shipping) to identify bottlenecks, reduce cycle times, and improve operational efficiency.
Monitor inventory movement, aged inventory, and replenishment performance and recommend actions to improve service levels and reduce working capital.
Parts & Field Service Analytics
Conduct truck stock and service parts analytics, including usage modeling, min/max optimization, seasonality reviews, replenishment cadence evaluation, and standard truck stock recommendations aligned to 80/20 principles.
Develop insights and recommendations that improve Parts on Truck (POT%), parts availability, technician productivity, and First-Time-Fix performance.
Continuous Improvement & Automation
Support continuous improvement, Lean, and 5S initiatives by translating KPI trends into practical operational improvements, standard work, and visual management solutions.
Monitor, validate, and maintain analytical tools, dashboards, and automated reports to ensure data integrity and usability.
Identify opportunities to automate reporting, improve data quality, and eliminate manual processes.
Ad Hoc Analysis & Business Support
Deliver high-quality, decision-grade analytics to support operations, procurement, supply planning, and cross-functional business initiatives.
Collaborate with operational leaders to identify performance gaps and develop actionable solutions.
Operational Flexibility
This role will evolve with the needs of the business. The successful candidate is expected to demonstrate flexibility and agility by taking on additional duties, special projects, and cross-functional responsibilities as assigned to support organizational objectives, operational priorities, and continuous improvement initiatives.
KPIs You Will Influence
Inventory Accuracy (%)
Cycle Count Compliance (%)
Variance Closure Time
Parts Replenishment Stability
Min/Max Adherence
Parts on Truck (POT%)
Technician Productivity
Inventory Availability and Fill Rate
Aged Inventory Reduction
Improvements correlated to First-Visit - Rate (FVR) through optimized truck stock and parts availability
Qualifications
Bachelor's degree in supply chain management, Operations, Industrial Engineering, Business Analytics, Data Science, or a related discipline.
4-7+ years of experience in warehouse, distribution, inventory, or supply chain analytics with a demonstrated history of improving operational KPIs.
Proficiency with ERP, WMS, and reporting systems; SAP experience is considered a strong asset.
Advanced Excel skills and experience using Power BI for dashboard development and data visualization.
Experience working with SQL, Power Query, or other data analysis and transformation tools is considered an asset.
Experience cleaning, transforming, validating, 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 with the ability to present insights to both technical and non-technical stakeholders.
Knowledge of logistics operations, including inventory control, replenishment, receiving, warehousing, picking, shipping, and supplier performance management.
Familiarity with Lean principles, 5S, root-cause analysis, and continuous improvement methodologies.
