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Parts for Trucks, Inc.

Inventory Optimization Analyst

AB, Canada
Alberta, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 5, 2027
Experience: 3+ years of experience in inventory analytics, demand planning, supply chain analytics, data science, or operations research.
Posting language: English
Posted: Nov 6, 2026

Original job description

Work location can be either in Dartmouth, Moncton, GTA, Calgary or Edmonton.

Turn data into smarter inventory decisions.

Parts for Trucks is seeking an experienced Data Scientist - Inventory Analytics professional to help optimize inventory across our national branch and distribution network. This is a high-impact role focused on inventory analytics, forecasting, replenishment, and data driven decision-making using SQL, Python, Power BI and other modern analytical tools.

What you'll do:

Analyze inventory, sales, purchasing, and replenishment data.
Develop recommendations for inventory levels, safety stock, reorder points, and inventory positioning.
Build forecasting and optimization models using Python or other coding languages.
Create dashboards and decision-support tools using SQL and Power BI.
Partner with Inventory Management, Purchasing, Operations, and IT to improve product availability, inventory turns, and working capital position.

What you'll bring:

Degree in Supply Chain, Industrial Engineering, Operations Research, Business Analytics, Data Science, Statistics, Computer Science, or a related field.
3+ years of experience in inventory analytics, demand planning, supply chain analytics, data science, or operations research.
Strong experience building software models to analyze, forecast, and optimize operational data.
Advanced SQL skills for data extraction, validation, and analysis.
Experience with forecasting, replenishment, inventory optimization, and data visualization.
Ability to communicate complex analysis to non-technical stakeholders and influence business decisions.

Preferred:

Experience in wholesale distribution, aftermarket parts, industrial distribution, transportation, or supply chain planning.
Experience with inventory optimization, demand forecasting, machine learning, or operations research.
Experience with Microsoft Power Suite (BI, Apps, Copilot), ERP systems, and cloud analytics platforms.
Experience implementing recommendations and measuring business outcomes.

Why join Parts for Trucks?

Build a new inventory analytics capability from the ground up.
Work directly with business leaders and operational teams.
See your recommendations implemented and measured.
Competitive compensation, benefits, and flexible hybrid work options.

If you enjoy solving complex supply chain problems and turning data into business results, we'd love to hear from you.

Parts for Trucks has been an industry leader providing parts and service to the heavy-duty trucking industry for over 100 years. Operating coast to coast, Parts for Trucks offers a complete range of products and services for all makes of trucks and trailers. We take pride in our commitment to quality, customer satisfaction, and reliability.

Parts for Trucks is an equal opportunity employer. We value a diverse and inclusive workplace and are committed to equitable hiring practices. We thank all applicants for their interest. Only those selected for an interview will be contacted.

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More about this job

Responsibilities

Analyze inventory, sales, purchasing, and replenishment data to recommend inventory levels, safety stock, reorder points, and product positioning. Build forecasting and optimization models, dashboards, and decision-support tools, and collaborate with business teams to improve product availability, inventory turns, and working capital.

Requirements

A degree in a relevant field and at least three years of experience in inventory analytics, demand planning, supply chain analytics, data science, or operations research are required. Candidates should have strong modeling and advanced SQL skills, experience with forecasting, replenishment, inventory optimization, and data visualization, and the ability to communicate analysis to non-technical stakeholders.

Skills

Inventory Analytics
Demand Forecasting
Inventory Optimization
Replenishment Planning
SQL
Python
Power BI
Data Visualization
Statistical Modeling
Safety Stock Analysis
Reorder Point Optimization
Inventory Positioning
Supply Chain Analytics
Data Analysis
Stakeholder Communication
Machine Learning

Benefits

Competitive Compensation
Benefits
Flexible Hybrid Work Options

Visa sponsorship

Not detected in the job text

Keywords

Inventory Analytics
Inventory Optimization
Demand Forecasting
Replenishment
Supply Chain Analytics
SQL
Python
Power BI
Microsoft Power Suite
Microsoft Power Apps
Microsoft Copilot
ERP Systems
Cloud Analytics Platforms
Data Visualization
Safety Stock
Reorder Points
Inventory Positioning
Inventory Turns
Working Capital
Machine Learning
Operations Research
Wholesale Distribution
Aftermarket Parts
Industrial Distribution
Transportation
Purchasing
Data Science
Statistical Analysis

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