Finance Analyst-Techno-Functional Financial Analyst – Finance, AI & Advanced Analytics - 6+yrs exp

Meet the Team

Join a forward-looking Finance organization that combinesfinancial analysis, business intelligence, automation, and emerging AI technologies to solve real business problems. The team partners closely with Finance, business stakeholders, Data Science, Engineering, Information Security, and Governance teams to develop secure, scalable, and practical analytical solutions.

Your Impact

As aTechno-Functional Financial Analyst, you will combine strong Finance and FP&A expertise with hands-on capabilities inPower BI, SQL, Python, Machine Learning, Generative AI, and Agentic AI.

You will translate complex finance requirements intodashboards, 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.

You Will

Finance, Reporting & Business Analytics

• Prepare and deliver periodicfinancial 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.
• Performvariance analysis across actuals, forecast, budget, prior quarter, and prior year to identify drivers, trends, risks, and opportunities.
• Support monthly and quarterly close activities throughdata validation, reconciliations, P&L reviews, and investigation of reporting discrepancies.
• Develop and maintain interactive dashboards and executive reports usingPower BI, Excel, and other BI tools.
• Extract, integrate, and analyze large datasets usingSQL, Python, Excel Power Query, and appropriate data-processing technologies.
• Buildforecasting, 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 usingExcel, VBA, Power Query, Python, Power BI, or workflow-automation technologies.
• Prepare executive summaries and presentations that clearly communicatebusiness 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 tosimplify, standardize, and improve finance reporting and planning processes.

Generative AI, Machine Learning & Agentic AI

• Identify finance use cases whereGenerative AI, Machine Learning, and Agentic AI can improve forecasting, reporting, productivity, controls, and decision-making.
• Design, build, test, and implementAI/ML solutions for real finance and business requirements.
• Develop predictive models forforecasting, 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 asregression, time-series forecasting, decision trees, Random Forest, XGBoost, or equivalent methods based on the business problem.
• Build Generative AI applications usingLarge Language Models (LLMs) for financial commentary, document analysis, summarization, question answering, and insight generation.
• DevelopRetrieval-Augmented Generation (RAG) solutions using approved internal documents or structured data to produce grounded and traceable responses.
• DesignAgentic AI workflows that retrieve data, perform analysis, apply business rules, and generate controlled outputs with human oversight.
• Integrate AI solutions with approveddata sources, APIs, databases, dashboards, and workflow tools while following organizational security requirements.
• Applyprompt engineering, structured outputs, and contextual grounding to improve the accuracy and consistency of LLM-generated results.
• Implement AI guardrails coveringdata privacy, confidential information, prompt injection, hallucination, toxicity, and unsafe output.
• Establishhuman-in-the-loop review and approval controls for finance-related AI recommendations and outputs.
• Evaluate AI solutions using appropriate measures such asgroundedness, faithfulness, relevance, accuracy, latency, and cost.
• Monitor implemented models forperformance degradation, data drift, unexpected outputs, and changing business conditions.
• Explain model results and key drivers using interpretable techniques such asfeature importance or SHAP, where appropriate.
• Maintain documentation coveringmodel assumptions, training data, validation results, limitations, controls, and implementation decisions.
• Develop reusable and maintainable Python code using appropriatesoftware-development and version-control practices.
• UseGitHub for source-code management, version control, documentation, issue tracking, and collaboration.
• UseGitHub 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 fromprototype to controlled business use.

AI/ML Implementation Experience

Candidates should be able to demonstrate one or more completed implementations, such asfinancial forecasting or predictive analytics, revenue/bookings/margin/pipeline/cash-flow prediction, financial anomaly detection, automated financial commentary, a finance knowledge assistant using RAG, document extraction or summarization, an AI agent that retrieves data and performs analysis, risk-scoring/classification models, or LLM-based workflows integrated with a database, API, or business application.

Candidates should be able to clearly explain thebusiness problem, their individual contribution, data preparation and modeling approach, technology and architecture used, model selection and evaluation, security and governance controls, measurable business impact, and how the solution was deployed, monitored, and maintained.

Who You’ll Work With

You will collaborate closely withFinance Controllers, business leaders, Finance teams, Data Science, Data Engineering, Engineering, Information Security, Governance, and Technology teams to translate finance requirements into scalable analytical and AI solutions.

Who You Are

You are a techno-functional Finance professional who can connectfinance requirements with technology solutions. You combine strong financial and commercial understanding with analytical thinking, structured problem-solving, curiosity about emerging technologies, and a strong ownership mindset.

You are comfortable explaining technical concepts to non-technical stakeholders, working across functions, and taking solutions fromrequirements through implementation and adoption. You also demonstrate sound judgment around financial-data confidentiality and the responsible use of AI.

Minimum Qualifications

• Bachelor’s or Master’s degree inFinance, Accounting, Business, Economics, Data Science, Computer Science, Engineering, or a related discipline.
• Relevant professional experience infinancial analysis, reporting, business intelligence, or finance transformation.
• Strong practical experience withPower BI, SQL, and Excel.
• Hands-on experience implementingGenerative AI, Machine Learning, or Agentic AI solutions.
• Strong financial analysis, management reporting, and business-partnering experience.
• Advanced experience withPower BI, SQL, and Excel.
• Proficiency inPython for data analysis, Machine Learning, and AI solution development.
• Experience buildingAI agents, agentic workflows, or LLM-powered business applications.
• Experience usingGitHub and GitHub Copilot for application or solution development.
• Demonstrated ability to translate finance requirements intodashboards, predictive models, AI applications, and automated workflows.
• Evidence of at leastone AI/ML solution implemented or deployed for actual business use.

Technical Skills

Essential: Power BI including data modeling and DAX; SQL; advanced Excel and Power Query; Python; Pandas and NumPy; scikit-learn, XGBoost, or equivalent ML frameworks; Generative AI and LLM fundamentals; prompt engineering; structured LLM outputs; Agentic AI concepts and workflow orchestration; Git, GitHub, and GitHub Copilot; data visualization and executive-level financial storytelling.

Desirable: LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable AI frameworks; RAG and vector databases; Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent cloud AI platforms; n8n, Langflow, Power Automate, or comparable workflow tools; REST APIs and JSON; model deployment, monitoring, testing, and MLOps; responsible AI, privacy, access controls, and enterprise AI governance; enterprise Finance systems and data platforms.

Preferred Qualifications

• Finance qualification orMBA in Finance.
• Relevant certifications inPower BI, Data Science, Machine Learning, Generative AI, or cloud AI platforms.
• Experience applying AI/ML to finance use cases such asforecasting, anomaly detection, financial commentary, reporting automation, or decision support.
• Experience working in enterprise environments with strong data-security and governance requirements.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

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