全职 Senior Coordinator, Regional Controlling 工作, 薪水, Hapag-Lloyd AG 公司招聘中 - Ricebowl

Description

• Overseeing the financial health of the Region by managing budgets and ensuring performance in accordance with predetermined standards
• Help shape strategy and business decisions by providing management with fact-based business analysis
• Measure and improve operational efficiency and effectiveness
• Evolve into becoming a business partner to the organization

• Bachelor's degree in finance/accounting/business administration/data science
• Minimum 3-5 years relevant experience, preferably in financial analysis and planning and/or data analytics
• MS Office
• Knowledge in SAP preferred
• Business Intelligence tools preferred

Responsibilities

• Budgeting and forecasting: Develop and manage financial budgets and forecasts to support the organization's financial planning and decision making including:
  • Support annual budgeting, quarterly forecasting and monthly trend process
  • Engage with Operations to accurately translate, capture, challenge assumptions (procurement/strategic/structural)
• Oversee month-end closing of accounts including management reporting of performance and deviations to plans including:
  • Calculate accruals for cost / cost reduction items
  • Monitor accrual balances by periodically reviewing late postings • Analysis and management reporting
  • Analyze and explain deviations between actuals and plans
  • Act as a business partner to all departments in the Region
  • Prepare management reports (REM, MPC, Area visits, etc.)
  • Participate in company-wide cross-functional projects (e.g., cost saving projects, new systems/processes, etc.)
  • Support on queries from Controlling / Accounting in HQ
• Performance tracking
  • Support in development and tracking of KPIs and cost saving measures
  • Analyze financial data to identify trends, opportunities for improvement, and risks
• Data Science
  • Act as a Data Scientist for the team, supporting the team with Business Intelligence and analytics
  • Develop financial models using data-driven insights, implement machine learning to analyze large datasets
  • Leverage on data analytics tools to extract insights and drive business decisions
• Compliance: Ensure business activities are in compliance with the Company's policies and standard operating procedures.