FP&A Analyst

at  GULF ASIAPACIFIC PTE LTD

QUALIFICATIONS

Education :

• Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field.
• CPA, CFA, or MBA is highly preferred.

Experience :

• 3–5+ years of experience in financial planning and analysis, corporate finance, or a related field.
• Proven experience in working with data warehouses (e.g., Snowflake, Redshift) and data lakes.
• Hands-on expertise in ERP systems (e.g., SAP, Oracle, NetSuite) and advanced data management tools.

Technical Skills :

• Advanced proficiency in financial modelling tools such as Microsoft Excel.
• Expertise in data visualization tools (e.g., Power BI, Tableau).
• Proficiency in SQL and familiarity with programming languages (e.g., Python, R) for data processing and analysis.

Competencies :

• Strong analytical and problem-solving skills with exceptional attention to detail.
• Excellent communication skills to present complex financial and data insights to non-technical stakeholders.
• Ability to manage multiple priorities and meet deadlines in a dynamic environment.
• Proactive, results-driven mindset with a collaborative approach to problem-solving.

Accounting Knowledge :

• Apply accounting principles to ensure accurate financial data and compliance with regulatory requirements.
• Work closely with the accounting team to reconcile data and align financial reporting across systems.
• Provide insights into cost accounting, revenue recognition, and other accounting functions critical to financial planning

Financial Planning and Analysis :

• Build and maintain detailed financial models to forecast revenue, expenses, and cash flow for strategic and operational planning.
• Assist in preparing and monitoring annual budgets, quarterly forecasts, and long-term business plans.
• Perform variance analysis to identify and explain gaps between actual results and forecasts, offering actionable recommendations.

Data Management and Integration :

• Manage and work with large, complex data sets, ensuring data quality, accuracy, and consistency.
• Integrate data from disparate sources, including ERP systems, operational databases, and external market data, to create unified analytical views.
• Utilize data warehouses and data lakes to manage, store, and retrieve structured and unstructured data efficiently.
• Collaborate with IT to enhance data architecture and improve data flow.

ERP System Expertise :

• Use ERP systems to extract, consolidate, and analyse financial and operational data.
• Act as an ERP subject matter expert, ensuring configurations align with financial reporting requirements and organizational needs.
• Partner with IT and other teams to enhance ERP system functionalities and optimize reporting processes.

Accounting Knowledge :

• Apply accounting principles to ensure accurate financial data and compliance with regulatory requirements.
• Work closely with the accounting team to reconcile data and align financial reporting across systems.
• Provide insights into cost accounting, revenue recognition, and other accounting functions critical to financial planning.

Data Analysis and Insights :

• Analyse and interpret large and integrated data sets to uncover trends, patterns, and key business drivers.
• Develop dashboards and visualizations to communicate financial and operational KPIs to the CFO and leadership team.
• Conduct scenario and sensitivity analyses to support risk management and strategic planning.

Strategic Decision Support :

• Support high-impact initiatives such as mergers and acquisitions, market expansion, and product launches with robust financial and data analysis.
• Deliver insights and recommendations to optimize profitability, growth, and operational efficiency.
• Collaborate with cross-functional teams to align financial planning and data strategies with organizational objectives.

Process Optimization :

• Identify inefficiencies in financial reporting and analysis workflows, implementing automation and process improvements.
• Drive initiatives to enhance the accuracy, timeliness, and efficiency of data integration and reporting.