Accounting 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 continues 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 ideas and strategies. We are currently expanding and looking to add a motivated individual to our team based out of our Brampton office.
Responsibilities
- Analyze large financial and accounting datasets to identify trends, patterns, and performance drivers.
- Build and maintain data models, dashboards, and automated reports (Power BI, Tableau, Excel).
- Perform variance, trend, and predictive analysis on revenue, expenses, and profitability.
- Extract, clean, and transform data from financial systems (e.g., ERP, Workday) for reporting and analysis.
- Develop KPIs and metrics to monitor financial and operational performance.
- Support budgeting and forecasting through data-driven insights and scenario analysis.
- Collaborate with accounting and finance teams to translate financial data into actionable insights.
- Improve reporting processes through automation and data optimization.
- Support audit and reporting needs by providing structured data and analytical support.
- Identify opportunities to optimize reporting and decision-making through AI and automation.
- Bachelor’s degree in Finance, Accounting, Business Intelligence, or related field
- Experience analyzing large financial and accounting datasets
- Familiarity with AI, machine learning, or predictive analytics for financial data
- Proficient in Excel; experience with Power BI, Tableau.
- Strong skills in data extraction, cleaning, and modeling from ERP systems (e.g., Workday)
- Experience with variance, trend, KPI analysis, and forecasting
- Ability to provide data-driven insights to support business decisions
- Strong analytical, problem-solving, and communication skills
- Knowledge of automation and reporting optimization
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