Work from home Logistics Data Analyst

Enercare Inc. is one of Canada’s largest home and commercial services companies servicing over one million customers across Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Quebec and New Brunswick. Enercare is the Experts at Home, operating under several brands including Enercare, HydroSolution, and Pioneer Plumbing & Heating. A proudly Canadian-owned company, we are the Experts at what we do and deeply care about our customers. We value a diverse, collaborative culture, and take pride in our commitment to health and safety, and knowing our work serves and supports our communities every day. Role: Logistics Data Analyst

Reports to: Senior Manager – Supply Chain & Logistics

Status: Full-Time, Regular

Enercare Home and Commercial Services

Incentives such as bonuses are not guaranteed and depend on individual performance and company results. 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.

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; 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: 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; Inventory accuracy (%), cycle‑count compliance, and variance closure 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

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.
• 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.

We are committed to equal employment opportunity regardless of race, colour, ancestry, national origin, religion, sex, age, sexual orientation, gender identity, citizenship, marital status, disability, pregnancy, military status, protected veteran status or other characteristics protected by applicable law. Enercare’s recruitment process includes accommodation for applicants with disabilities in accordance with applicable provincial accessibility laws and regulations. All accommodations will take into account the applicant’s accessibility needs due to disability and are available upon request.

Our company leverages artificial intelligence (AI) tools as part of the candidate screening process to help review applications efficiently and fairly. These tools may assist in evaluating qualifications against job requirements.