financial analyst for financial planning

Kempuri’s Financial Analytics team helps organizations transform financial data into strategic business decisions through financial planning, profitability analysis, forecasting, budgeting, performance management, and business intelligence. The team combines financial expertise with advanced analytics to improve operational efficiency and support sustainable growth.

• Analyze financial and operational data to identify trends, risks, and growth opportunities;
• Develop financial models, forecasts, budgets, and scenario analyses;
• Build dashboards and reporting solutions supporting strategic decision-making;
• Monitor and interpret business performance indicators and financial metrics;
• Collaborate with stakeholders to define analytical requirements and reporting standards;
• Deliver insights and recommendations that improve financial performance and operational efficiency;
• Support investment, pricing, profitability, and cost optimization analyses;
• Perform variance analysis and evaluate actual results against forecasts and budgets;
• Prepare presentations and business cases summarizing analytical findings and recommendations;
• Assess the financial impact of strategic initiatives and support ROI calculations.

• At least 3 years of experience in Financial Analysis, Business Analytics, FP&A, or Data Analytics;
• Strong knowledge of financial statements, profitability analysis, budgeting, forecasting, and financial KPIs;
• Experience working with large datasets and performing financial modeling;
• Advanced SQL and Excel skills;
• Experience with data visualization and reporting tools such as Power BI, Tableau, or Looker;
• Experience gathering business requirements and translating them into analytical solutions;
• Understanding of statistical concepts and forecasting methodologies;
• Ability to communicate analytical findings to business stakeholders and senior management;
• Strong problem-solving skills and a business-oriented mindset;
• Nice to have: Python or R for data analysis.

• Salary range provided during later recruitment stages;
• Comprehensive benefits package;
• Opportunities for professional development and advancement;
• Access to the latest technologies and tools;
• Support for continued learning and certification;
• Collaborative and knowledge-sharing work culture.