Strategic Financial Optimizer

3 days ago

Melbourne, Victoria, Australia beBeeFinancial Full time

Immerse yourself in a dynamic role that combines finance, operations, and strategy to drive business growth.

Achieve operational excellence and optimize financial performance by leveraging your analytical skills and expertise in financial modeling, reporting, and forecasting. Collaborate with cross-functional teams to develop data-driven insights that inform strategic decisions.

This is an opportunity to shape the future of our fulfillment network by analyzing complex financial metrics, identifying trends, and providing actionable recommendations. Develop and maintain sophisticated financial models to empower stakeholders and drive business outcomes.

Leverage your passion for process improvement and optimization to enhance our financial reporting capabilities and identify areas for cost savings. Participate in dynamic teams to evaluate the financial impact of new processes, technologies, or business models and drive innovation.

In this role, you will:

  • Analyze financial data to identify opportunities for cost reduction and process improvement
  • Develop and maintain financial models and forecasts to inform strategic decisions
  • Collaborate with cross-functional teams to develop data-driven insights and recommendations
  • Participate in dynamic teams to drive innovation and improve financial reporting capabilities

About the Team

The team operates out of Sydney and Melbourne Corporate Office and travels to the sites they support when required.

Benefits include a competitive remuneration package, participation in the company stock plan, and benefits such as subsidized private health insurance and paid parental leave options.

BASIC QUALIFICATIONS

  • Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
  • Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
  • Experience applying key financial performance indicators (KPIs) to analyses
  • Experience working with stakeholders

PREFERRED QUALIFICATIONS

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • Bachelor's degree in finance, accounting or related field
  • Experience with advanced use of SQL for data mining and business intelligence

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