# Finance Analyst-Techno-Functional Financial Analyst – Finance, AI & Advanced Analytics **Company**: Cisco **Location**: Bangalore, India **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Finance **Industry**: Technology **Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Finance-Analyst-Techno-Functional-Financial-Analyst---Finance--AI---Advanced-Analytics---6-yrs-exp_2025845?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_50176126-055 ## Description Join a forward-looking Finance organization at Cisco that combines financial analysis, business intelligence, automation, and emerging AI technologies to solve real business problems. As a Techno-Functional Financial Analyst, you will combine strong Finance and FP&A expertise with hands-on capabilities in Power BI, SQL, Python, Machine Learning, Generative AI, and Agentic AI. You will translate complex finance requirements into dashboards, predictive models, AI-powered applications, and automated workflows that improve reporting, forecasting, productivity, controls, and decision-making. This role requires practical experience in implementing AI/ML solutions for real business use,not just training, coursework, or proof-of-concept exercises. ### Responsibilities #### Finance, Reporting & Business Analytics - Prepare and deliver periodic financial and management reporting covering bookings, revenue, gross margin, operating expenses, forecasts, and other key business metrics. - Partner with Finance Controllers, business leaders, and cross-functional stakeholders to understand requirements and provide accurate, timely, and actionable financial insights. - Perform variance analysis across actuals, forecast, budget, prior quarter, and prior year to identify drivers, trends, risks, and opportunities. - Support monthly and quarterly close activities through data validation, reconciliations, P&L reviews, and investigation of reporting discrepancies. - Develop and maintain interactive dashboards and executive reports using Power BI, Excel, and other BI tools. - Extract, integrate, and analyze large datasets using SQL, Python, Excel Power Query, and appropriate data-processing technologies. - Build forecasting, trend-analysis, and scenario-planning models to support management decisions. - Translate functional requirements into reporting solutions, calculation logic, data models, dashboards, and analytical products. - Perform data-quality checks and partner with Finance, Data Engineering, and Technology teams to resolve data and reporting issues. - Automate recurring reports, reconciliations, and manual finance activities using Excel, VBA, Power Query, Python, Power BI, or workflow-automation technologies. - Prepare executive summaries and presentations that clearly communicate business performance, financial risks, opportunities, and recommended actions. - Document data sources, business rules, calculations, reporting methodologies, procedures, and key controls. - Support user-acceptance testing, regression testing, implementation, and adoption of new finance systems, dashboards, and analytical solutions. - Identify opportunities to simplify, standardize, and improve finance reporting and planning processes. #### Generative AI, Machine Learning & Agentic AI - Identify finance use cases where Generative AI, Machine Learning, and Agentic AI can improve forecasting, reporting, productivity, controls, and decision-making. - Design, build, test, and implement AI/ML solutions for real finance and business requirements. - Develop predictive models for forecasting, classification, anomaly detection, risk identification, and other financial applications. - Perform data preparation, feature engineering, model selection, training, validation, and performance evaluation using appropriate ML techniques. - Apply techniques such as regression, time-series forecasting, decision trees, Random Forest, XGBoost, or equivalent methods based on the business problem. - Build Generative AI applications using Large Language Models (LLMs) for financial commentary, document analysis, summarization, question answering, and insight generation. - Develop Retrieval-Augmented Generation (RAG) solutions using approved internal documents or structured data to produce grounded and traceable responses. - Design Agentic AI workflows that retrieve data, perform analysis, apply business rules, and generate controlled outputs with human oversight. - Integrate AI solutions with approved data sources, APIs, databases, dashboards, and workflow tools while following organizational security requirements. - Apply prompt engineering, structured outputs, and contextual grounding to improve the accuracy and consistency of LLM-generated results. - Implement AI guardrails covering data privacy, confidential information, prompt injection, hallucination, toxicity, and unsafe output. - Establish human-in-the-loop review and approval controls for finance-related AI recommendations and outputs. - Evaluate AI solutions using appropriate measures such as groundedness, faithfulness, relevance, accuracy, latency, and cost. - Monitor implemented models for performance degradation, data drift, unexpected outputs, and changing business conditions. - Explain model results and key drivers using interpretable techniques such as feature importance or SHAP, where appropriate. - Maintain documentation covering model assumptions, training data, validation results, limitations, controls, and implementation decisions. - Develop reusable and maintainable Python code using appropriate software-development and version-control practices. - Use GitHub for source-code management, version control, documentation, issue tracking, and collaboration. - Use GitHub Copilot for code development, debugging, test-case generation, refactoring, and documentation, while independently validating generated code. - Partner with Finance, Data Science, Engineering, Information Security, and Governance teams to move suitable solutions from prototype to controlled business use. ### Requirements - Bachelor’s or Master’s degree in Finance, Accounting, Business, Economics, Data Science, Computer Science, Engineering, or a related discipline. - Relevant professional experience in financial analysis, reporting, business intelligence, or finance transformation. - Strong practical experience with Power BI, SQL, and Excel. - Hands-on experience implementing Generative AI, Machine Learning, or Agentic AI solutions. - Strong financial analysis, management reporting, and business-partnering experience. - Advanced experience with Power BI, SQL, and Excel. - Proficiency in Python for data analysis, Machine Learning, and AI solution development. - Experience building AI agents, agentic workflows, or LLM-powered business applications. - Experience using GitHub and GitHub Copilot for application or solution development. - Demonstrated ability to translate finance requirements into dashboards, predictive models, AI applications, and automated workflows. - Evidence of at least one AI/ML solution implemented or deployed for actual business use. ## Skills ### Required - Power BI - SQL - Python - Machine Learning - Generative AI - Agentic AI - Excel - Power Query - VBA - GitHub - GitHub Copilot ### Nice to have - LangChain - LangGraph - LlamaIndex - Semantic Kernel - Azure OpenAI - AWS Bedrock - Google Vertex AI - n8n - Langflow - Power Automate - REST APIs - JSON - model deployment - monitoring - testing - MLOps --- Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Finance-Analyst-Techno-Functional-Financial-Analyst---Finance--AI---Advanced-Analytics---6-yrs-exp_2025845?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)