Lead Business Intelligence Financial Analyst

2 days ago

Cagayan de Oro, Northern Mindanao, Philippines beBeeFinancial Full time ₱1,800,000 - ₱2,500,000

As a financial analyst, you will be responsible for assisting in the analysis and investigation of financial data to support business planning and performance.

Key Responsibilities
  • Partner with operations to analyze daily margin reports and provide insights into cost estimations.
  • Support data sourcing and discrepancies, as well as assumptions for cost estimations such as wage rates, taxes, benefits, PTO, and other allocated expenses.
  • Hold weekly review calls with operations to discuss trends and performance, develop action plans on areas of opportunity, and optimize monthly performance.
  • Compare month-end financials with actual results in detail and provide variance analysis to improve data accuracy.
  • Assist operations in completing the monthly forecast process.
  • Understand all assumptions that go into building the financial forecast.
  • Hold monthly review calls with key stakeholders to discuss forecast changes, prior submissions, plans, and trends.
  • Provide bridges or variance commentary as required.
  • Compare month-end forecast with actual results in detail to improve forecast accuracy.
  • Analyze client, site, geography, and department profit-and-loss statements.
  • Analyze all levels of profit-and-loss statements and perform variance analysis as requested.
Requirements
  • Bachelor's degree in finance from a four-year college or university, or an equivalent combination of education and related experience.
  • Demonstrated analytical aptitude to identify opportunities for change, alternative best practice solutions, and future problems and opportunities.
  • Ability to identify problems and problem resolution skills used to effectively determine and implement alternative solutions and bring issues to a positive resolution.
  • Demonstrated ability to apply assessment measurement and evaluation techniques to ensure processes, systems, and applications meet business needs.
  • Demonstrated ability to solve complex problems, glean meaning from available data, and use multiple problem-solving tools and techniques.

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