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 enhancementDevelop a deep understanding of business operations, financial drivers, and key performance indicators (KPIs) to provide actionable insights that drive business growthPrepare and present clear, concise financial reports and executive dashboards, translating complex data into actionable recommendations for stakeholders at all levelsUtilize predictive analytics and forecasting techniques to identify trends, opportunities, and potential risks, enabling proactive business planningTransform 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 improvementsCorrelate 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 spendCollaborate with Logistics, Programming,



and Procurement teams to develop metrics and reports that track materials and vendor performance against financial and operational targetsConduct 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 opportunitiesDocument and implement streamlined financial and procurement processes to improve organizational efficiency, compliance, and internal controlsLead 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 proactivelyIdentify 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 organizationPreferred: Skilled 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 rolesDemonstrated expertise in data analytics, business intelligence, advanced Excel/financial modeling, and financial reportingExperience 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 recommendationsExceptional analytical and problem-solving skills with meticulous attention to detail and accuracyProject management capabilities with proven experience leading cross-functional initiatives and process improvementsProactive mindset with ability to work independently and as part of a collaborative teamFluency 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 storytellingWorking knowledge or exposure to ERP systems (e.g., SAP, Oracle, NetSuite) and FP&A; software is a plusProficiency in SQL for data extraction and manipulation is desirableStrong understanding of financial statements, budgeting, forecasting, and variance analysis

📌 Finance Data Analyst (Toowoomba)
🏢 WorldLink Communications
📍 Toowoomba