Data Analyst

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.
Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies. We are currently expanding and looking to add a motivated individual to our team based in our Brampton office.
Responsibilities{{{{:}}}}

• Design, write, and optimize complex SQL queries, stored procedures, views, and ETL/ELT transformations across relational databases.
• Analyze large datasets to identify trends, operational efficiencies, and process improvement opportunities within trucking and freight operations.
• Develop Python scripts to automate data extraction, processing, and reporting workflows.
• Build and maintain interactive dashboards and reports in Power BI and Tableau for operations, finance, HR, and leadership teams.
• Process, cleanse, and validate data to ensure accuracy, integrity, and consistency across multiple systems (TMS, WMS, fleet platforms).
• Collaborate with engineering teams to monitor production models, troubleshoot issues, and improve performance.
• Research operational data and prepare analytics to support freight network design and operational efficiency initiatives.
• Translate business requirements into clear analytical reports and data-driven recommendations.
• Identify opportunities for data quality improvement, process optimization, and automation.
• Create tables, datasets, and reports from multiple data sources to support decision-making.
• Prepare monthly and ad-hoc reports for internal stakeholders and leadership teams.
• Communicate insights and data strategies clearly to cross-functional stakeholders

Requirements

• 2+ years of experience in technology, data analytics, or a related field.
• College diploma or bachelor's degree in Information Technology, Computer Science, or a related field (or equivalent practical experience).
• Understanding of databases such as MySQL, SQL Server.
• Experience with Snowflake and PySpark is considered an asset.
• Experience using reporting and visualization tools such as Power BI, Tableau, Matillion, or similar platforms.
• Professional experience with data mining, data cleaning, and data segmentation is an asset.
• Experience in logistics, transportation, or supply chain industries is considered an advantage.
• Ability to work in a fast-paced, demanding operational environment, sometimes with limited direction.
• Strong verbal, written, and presentation skills, along with strong interpersonal and customer relationship skills.
• Ability to work independently with minimal supervision as well as effectively collaborate within a team environment

Benefits

• Health Benefits
• Career Growth
• High Competitive Salary