Finance Data Analyst

Role Description:

We are seeking a qualified Finance Data Analyst with advanced data analytics capabilities for a full-time, on-site position based in Kathmandu, Nepal.

Key Responsibilities:

Data Analytics & Business Intelligence:

• Perform complex financial modeling and analysis to support strategic decision-making and identify areas of cost optimization and revenue enhancement
• Develop a deep understanding of business operations, financial drivers, and key performance indicators (KPIs) to provide actionable insights that drive business growth
• Prepare and present clear, concise financial reports and executive dashboards, translating complex data into actionable recommendations for stakeholders at all levels
• Utilize predictive analytics and forecasting techniques to identify trends, opportunities, and potential risks, enabling proactive business planning
• Transform complex financial data into actionable business insights that support budget planning, variance analysis, and financial performance tracking

Vendor Spend & Business Correlation:

• Prepare comprehensive vendor spend analysis, scrutinizing large datasets to identify spending trends, anomalies, and opportunities for cost savings and efficiency improvements
• Correlate vendor expenditure directly with specific business activities and outcomes (e.g., product development, marketing campaigns, operational efficiency) to evaluate the financial impact, return on investment (ROI), and value-add of vendor spend
• Collaborate with Logistics, Programming, and Procurement teams to develop metrics and reports that track materials and vendor performance against financial and operational targets
• Conduct regular vendor performance reviews and benchmarking analysis to ensure competitive pricing and service quality

Innovation, Process Documentation & Automation:

• Apply innovative and critical thinking with strong problem-solving skills to identify process inefficiencies and improvement opportunities
• Document and implement streamlined financial and procurement processes to improve organizational efficiency, compliance, and internal controls
• Lead automation initiatives within Finance and Procurement functions (e.g., utilizing advanced Excel, Power BI, ERP/FP&A systems) to reduce manual effort, enhance data quality, and accelerate real-time analysis to support business decisions proactively
• Identify opportunities to leverage emerging technologies and AI-driven tools to enhance analytical capabilities

Qualifications & Requirements:

Education & Professional Certification:

• Required: Bachelor / Master degree in Finance, Accounting, Economics, Business Analytics, Data Science, or related field or equivalent professional experience in a large organization
• Preferred: Professional certifications in data analytics (e.g., Microsoft Certified: Data Analyst Associate), financial modeling, or business intelligence are advantageous

Experience Requirements:

• Fresh graduate with relevant internship experience or 2-3 years of progressive experience in financial analysis, FP&A, or business intelligence roles
• Demonstrated expertise in data analytics, business intelligence, advanced Excel/financial modeling, and financial reporting
• Experience working with cross-functional teams and managing multiple priorities in a fast-paced environment

Core Competencies:

• Ability to translate complex financial data into actionable business insights and recommendations
• Exceptional analytical and problem-solving skills with meticulous attention to detail and accuracy
• Project management capabilities with proven experience leading cross-functional initiatives and process improvements
• Proactive mindset with ability to work independently and as part of a collaborative team
• Fluency in both written and spoken Nepali and English is required

Technical Skills:

• Advanced Excel financial modeling (including pivot tables, VBA, macros, advanced formulas, scenario analysis, and sensitivity analysis)
• Tech-savvy with hands-on experience or knowledge of AI applications and tools (e.g., ChatGPT, Power Query, machine learning basics)
• Advanced proficiency in data visualization tools (Power BI, Tableau) and business intelligence platforms, including dashboard creation and data storytelling
• Working knowledge or exposure to ERP systems (e.g., SAP, Oracle, NetSuite) and FP&A software is a plus
• Proficiency in SQL for data extraction and manipulation is desirable
• Strong understanding of financial statements, budgeting, forecasting, and variance analysis