Data mining Jobs in Markham, ON

We are looking for a detail-oriented Financial Analyst to join our team on a long-term contract basis in Markham, Ontario. In this role, you will use your analytical expertise to support operational and financial teams by delivering structured, data-driven insights that enable informed decision-making. This position offers a unique opportunity to work within the wood and furniture manufacturing industry, focusing on optimizing processes and identifying cost efficiencies.

Responsibilities :

• Conduct in-depth analyses of operational processes, including delivery and installation, to identify inefficiencies and recommend cost-saving measures.
• Collaborate with project managers and department heads to provide real-time financial insights and structured data for decision-making.
• Utilize ERP systems, including Oracle-based software, to organize and format data effectively, addressing budget variances and project-level issues.
• Support finance and operations teams by interpreting data and presenting actionable recommendations.
• Work closely with IT and other departments to ensure data is accurately integrated and formatted for analysis.
• Assist in monthly reporting processes, highlighting financial discrepancies and suggesting improvements.
• Provide ad hoc financial reporting and analysis as required by management.
• Leverage tools like Microsoft Excel and Power BI to create clear and insightful reports.
• Facilitate communication between various departments to enhance cross-functional efficiency.
• Monitor project budgets and address real-time variances to ensure financial alignment.
• Bachelor's degree in Accounting, Finance, or a related field.
• Proficient in Microsoft Excel, with a strong ability to analyze and organize data.
• Experience with ERP systems, Oracle-based software, or industry-specific CRM tools.
• Solid understanding of financial processes, including budgeting and reporting.
• Strong analytical thinker with the ability to identify variances and suggest improvements.
• Familiarity with data mining techniques and tools like Power BI or Crystal Reports.
• Excellent organizational skills and attention to detail.
• Ability to work collaboratively with cross-functional teams and communicate effectively.

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