Siddharth H

Financial Analyst / Power BI @ Citi

About

As a Financial Analyst with 5+ years of experience, I specialize in driving data-backed financial strategies through advanced modeling, forecasting, and variance analysis. I combine strong technical expertise in Excel, SQL, Python, and Power BI with a solid foundation in GAAP, IFRS, and SOX compliance, ensuring accuracy, transparency, and actionable insights for leadership teams. My career spans diverse financial environments—from evaluating capital markets & lending risks at Citi Group (USA) to optimizing cloud cost structures and ROI models at Streebo Inc (India). I have a proven track record of: Designing financial models (DCF, scenario & sensitivity analysis) to guide strategic decision-making. Building interactive dashboards (Power BI, Tableau, Excel) to monitor KPIs and business performance. Partnering with cross-functional teams to align financial performance with business growth goals. Streamlining reporting workflows by automating processes with Python and VBA, reducing errors and increasing efficiency. I hold a Master’s in Business Analytics (Arizona State University, GPA 4.0/4.0) and a Bachelor’s in International Business, along with a Six Sigma certification. Currently, I am seeking new opportunities where I can leverage my skills to contribute to financial growth, risk management, and strategic planning while continuing to evolve as a finance professional. ✨ Let’s connect if you are looking for a results-driven financial analyst who can transform complex data into clear strategies that fuel business success.

Country

United States

City

Minneapolis

Industry

Banking

Skill

Financial Modeling (DCF, CCA, Precedent Transactions), Budgeting & Forecasting, Variance Analysis, Scenario & Sensitivity Analysis, ROI reports, DevOps, Chatbot Development, KPI Reporting, Excel VBA macros, Management Information Systems (MIS), Visual Basic for Applications (VBA), Salesforce.com, Financial Modeling, Budgeting, Forecasting, Goods and Services Tax (GST), Jira, Customer Relationship Management (CRM), Microsoft Excel, Generally Accepted Accounting Principles (GAAP)

Experience

Financial Analyst / Power BI

Citi

2025-2 - Present · 1 yr 7 mos

Minneapolis, Minnesota, United States

 Analyzed key lending trends, borrower risk behavior, and capital market impacts on interest rate spreads using Excel, SQL, and Python to identify repayment delay patterns and default risks across customer segments.  Built Power BI and Tableau dashboards to highlight regional credit performance, market yield curve movements, and loan-to- value shifts, supporting strategic updates to risk scoring and profitability models.  Collaborated with product, risk, and capital markets teams to perform financial modeling, forecasting disbursement volume, NIM, delinquency metrics, and interest rate exposure while applying budgeting and scenario analysis principles.  Delivered bi-weekly performance insights and quarterly executive summaries, aligning results with GAAP standards and SOX compliance frameworks using tools like SAP FICO and Oracle Financials.  Supported regression-based risk profiling by automating data pipelines and dashboards, enabling faster lending decisions and optimizing credit policies in real time using Python and advanced Excel.

Financial Analyst / Power BI

Streebo

2020-12 - 2024-7 · 3 yrs 8 mos

India

 Evaluated revenue and cost structures across digital banking deployments using advanced Excel, SQL, and Power BI to identify cost-saving opportunities and maximize gross margins.  Built financial models and ROI reports that supported pricing decisions for chatbot and mobile app features, integrating forecasting tools with Google Sheets for collaborative planning.  Analyzed project budgets versus actual spend using variance analysis and advised DevOps on AWS cost control strategies to streamline cloud usage without disrupting service delivery.  Designed interactive dashboards in Power BI to monitor module-level profitability and licensing performance across client segments, enabling better KPI-based leadership decisions.  Pulled sales pipeline data from Salesforce using SQL and created scoring models to predict deal closures, improving forecast accuracy and helping marketing teams prioritize regions.  Conducted sensitivity analysis and identified pricing gaps across regions using Tableau and Python, offering actionable insights to reshape product strategy for retail and mid-size clients.  Collaborated with finance and product teams to automate reporting workflows, enabling real-time MIS tracking and reducing manual data errors with integrated Excel VBA macros.