Business Analyst , Bangalore (Business Finance/ Revenue Assurance)

Business Analyst Business Finance & Revenue Assurance

Location: Bengaluru, Karnataka
Work Mode: Full-time, On-site
Experience: 1–6 years

Role Overview

We are looking for a highly analytical and business-oriented Business Analyst to support Business Finance, Revenue Assurance, P&L analytics, cost analysis, and revenue optimization initiatives within the logistics and supply chain environment.

The ideal candidate will have strong analytical and problem-solving skills, a good understanding of business and financial processes, and the ability to convert large datasets into actionable business insights. The role requires hands-on proficiency in SQL, Python, Advanced Excel, Power BI, and AI/analytics tools.

Exposure to the Logistics, Supply Chain Management (SCM), Transportation, Freight, or Distribution industry will be an added advantage.

Key Responsibilities

• Support Business Finance and Revenue Assurance projects by analyzing revenue, costs, profitability, and operational performance.
• Perform detailed revenue analysis, cost analysis, P&L analysis, and variance analysis.
• Identify revenue leakage, billing discrepancies, pricing deviations, incorrect charges, missed revenue opportunities, and process gaps.
• Analyze Actual vs. Budget vs. Forecast performance and identify key financial and operational drivers.
• Develop analytical models to monitor revenue realization, cost efficiency, margins, and profitability.
• Work with business and finance teams to understand revenue and cost structures and translate business requirements into analytical solutions.
• Build automated MIS, dashboards, KPI reports, and management reporting using Power BI and Excel.
• Develop SQL-based data extraction and analysis from multiple business and operational data sources.
• Use Python for data cleaning, transformation, analysis, automation, and advanced analytics.
• Perform root-cause analysis of revenue leakage, cost overruns, margin deterioration, and operational variances.
• Support revenue assurance controls by developing analytical checks, exception reports, and monitoring mechanisms.
• Identify opportunities for cost optimization, revenue improvement, process automation, and operational efficiency.
• Develop business cases and quantify the financial impact of identified opportunities.
• Perform trend analysis, forecasting, scenario analysis, and what-if analysis to support business decisions.
• Collaborate with Finance, Operations, Commercial, Sales, Technology, and SCM teams to drive data-backed decision-making.
• Leverage AI tools and analytics platforms to improve reporting, analysis, automation, and productivity.
• Present insights and recommendations to senior stakeholders in a clear and structured manner.

Logistics / SCM Exposure – Added Advantage

Candidates with exposure to logistics or supply chain processes will be preferred. Relevant areas include:

• Transportation and freight operations
• Last-mile / middle-mile logistics
• Shipment and delivery analytics
• Freight billing and revenue reconciliation
• Order-to-cash processes
• Pricing and tariff analysis
• Shipment profitability
• Cost-to-serve analysis
• Vendor / carrier cost analysis
• Warehouse and distribution operations
• Supply chain KPIs
• Route and network analytics
• Revenue leakage and billing assurance

Technical Skills

Must Have:

• SQL – strong proficiency in querying, joins, aggregations, subqueries, CTEs, and data analysis.
• Advanced Excel – Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS, Power Query, data modeling, dashboards, and financial analysis.
• Power BI – dashboard development, data modeling, DAX, KPI reporting, and visualization.
• Python – data analysis, automation, data manipulation, and reporting.
• Strong understanding of data visualization and storytelling.
• Hands-on experience with AI tools for analysis, automation, productivity, and business problem-solving.

Business & Finance Skills

• Understanding of P&L and financial statements.
• Revenue and cost analysis.
• Revenue assurance and revenue leakage analysis.
• Budget vs. actual analysis.
• Forecasting and financial planning.
• Variance analysis and root-cause analysis.
• Margin and profitability analysis.
• Cost optimization and cost-to-serve analysis.
• KPI development and performance management.
• Ability to connect operational metrics with financial outcomes.

Ideal Candidate Profile

We are looking for someone who is:

• Strong in business problem-solving, not just reporting.
• Comfortable working with large datasets and multiple data sources.
• Able to translate business questions into analytical frameworks and actionable insights.
• Strong in data storytelling and stakeholder communication.
• Comfortable working with Finance and Operations stakeholders.
• Curious, structured, detail-oriented, and commercially minded.
• Able to independently investigate issues, identify root causes, and recommend solutions.
• Comfortable using AI tools to accelerate analysis, automation, reporting, and research.
• Able to work in a fast-paced, data-driven business environment.

Education & Experience

• Bachelor's degree in Engineering, Finance, Economics, Statistics, Mathematics, Business Analytics, or a related discipline.
• 1–3 years of relevant experience in Business Analytics, Business Finance, FP&A, Revenue Assurance, Data Analytics, Commercial Analytics, or a similar role.
• Candidates from reputed engineering/business institutions are preferred.
• Experience in Logistics, SCM, Transportation, E-commerce, Freight, or Distribution is an added advantage.

Key Success Metrics

Success in this role will be measured through the ability to:

• Identify and quantify revenue leakage and recovery opportunities.
• Improve revenue visibility and financial reporting.
• Identify cost optimization opportunities.
• Improve P&L and profitability insights.
• Automate and streamline recurring reporting.
• Build effective dashboards and analytical solutions.
• Provide actionable insights that improve business and financial performance.

Key skills into below projects.

Business Finance | Revenue Assurance | P&L Analysis | Revenue Analytics | Cost Analysis | Variance Analysis | Revenue Leakage | Profitability Analysis | Cost Optimization | Logistics Analytics | Supply Chain Analytics | SQL | Python | Advanced Excel | Power BI | AI Tools | Financial Modeling | Forecasting | Business Intelligence | Data Visualization | MIS | KPI Analytics