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Charger Logistics Inc.Source d’offres vérifiée

Accounting Analyst

Offre en anglais

The role involves analyzing large financial datasets to identify trends and building automated reports and dashboards using Power BI and Tableau. The analyst will develop KPIs and provide data-driven insights to support budgeting, forecasting, and operational performance.

  • Sur place
  • Brampton, ON
  • Publié 6 août 2026
  • Postuler avant le 5 sept. 2026
  • 1 poste

Résumé du poste

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 Requirements 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 Benefits Competitive Salary Healthcare Benefit Package Career Growth

Ce que vous ferez

The role involves analyzing large financial datasets to identify trends and building automated reports and dashboards using Power BI and Tableau. The analyst will develop KPIs and provide data-driven insights to support budgeting, forecasting, and operational performance.

Exigences

Candidates must have a Bachelor's degree in Finance, Accounting, or Business Intelligence and experience with ERP systems like Workday. Proficiency in Excel and data visualization tools, along with familiarity with AI and predictive analytics, is required.

Avantages

• Competitive Salary • Healthcare Benefit Package • Career Growth

Compétences indiquées

  • Power BISouhaitée
  • TableauSouhaitée
  • Microsoft ExcelSouhaitée
  • Analyse financièreSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Financial Analysis
  • Data Modeling
  • Power BI
  • Tableau
  • Excel
  • ERP Systems
  • Workday
  • Variance Analysis
  • Trend Analysis
  • KPI Development
  • Forecasting
  • Data Cleaning
  • Predictive Analytics
  • Automation
  • Business Intelligence

Domaines d’emploi

  • Finance & Accounting
  • Data & Analytics
  • Logistics
  • Transportation
  • Technology

Renseignements supplémentaires

Formation minimale
Baccalauréat
Expérience minimale
2+ ans
Postuler avant le
5 sept. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Associate
Mode de candidature
La candidature directe est offerte