Data Analyst Financial Reporting

Sathwik Reddy Data Analyst

USA +1-937-***-**** *.*********@*****.***

SUMMARY

Analytical and detail-oriented Data Analyst with 4+ years of experience supporting financial decision-making across IT, banking, and

consulting sectors. Proven success in streamlining reporting processes, improving data accuracy, and driving cost optimization through

data-driven insights. Experienced in collaborating with cross-functional teams to support budgeting, forecasting, and performance

analysis. Skilled in preparing audit-ready financial reports, supporting compliance, and contributing to strategic initiatives, including

cloud investments and digital transformation. Known for delivering accurate, timely insights that enhance executive decision-making

and operational efficiency. Adept at translating complex data into actionable business recommendations aligned with organizational

goals.

TECHNICAL SKILLS

Languages: SQL, Python, R, VBA

Databases: MYSQL, MongoDB

Financial & Analysis Skills: Data Analysis, Financial Modelling, Statistical Analysis, Financial Reporting, Budgeting and

Forecasting, Financial Planning and Analysis, Risk Management, Investment Analysis, Investment Banking, Portfolio

Management, Financial Markets, Financial Instruments, Financial Regulations, Financial Statement Analysis, Project

management, Gap Analysis, ROI analysis

Soft Skills: Communication, Problem-Solving, Time Management, Teamwork, Leadership, Adaptability, Attention to Detail,

Analytical Thinking, Critical Thinking, Decision-Making

Tools & Technical Skills: Advanced Excel, Bloomberg, Tableau, Power BI, Database Management, QuickBooks, SAP, SAS, ETL,

SAP ERP, Oracle Financials, JIRA, Asana, Alteryx

EDUCATION

Master of Science: Computer Science Aug 2021 - May 2023

University of Dayton, Ohio, USA

PROFESSIONAL EXPERIENCE

Amex, USA, NJ May 2023 - Current

Data Analyst

• Designed and developed interactive financial performance dashboards in Power BI, integrating data from SAP ERP and SQL,

improving reporting efficiency by 35%.

• Automated reconciliation and reporting workflows using Python (Pandas, NumPy) and VBA, reducing manual effort by 20+

hours per month and increasing accuracy in financial reporting.

• Collaborated with Finance, Product, and IT teams to conduct variance analysis, leading to a 15% reduction in operational

expenses through cost-benefit evaluations.

• Conducted financial modeling for cloud infrastructure projects worth $5M, performing NPV/IRR analysis and cash flow

forecasting to guide strategic investment decisions.

• Prepared and audited GAAP-compliant financial statements, ensuring internal readiness for SOX compliance and

facilitating smooth internal and external audits.

• Streamlined quarterly and annual forecasting processes, consolidating financial data across multiple business units and

using historical trends to validate projections and improve accuracy.

Accenture, India Nov 2020 – May 2021

Programmer Analyst

• Extracted, cleaned, and analyzed large-scale financial datasets from SAP S/4HANA and Oracle ERP using SQL, driving

accurate forecasting and variance analysis.

• Developed interactive Tableau dashboards to track financial KPIs, budget utilization, and cost variances, cutting reporting

cycle time by 25%.

• Evaluated ROI and TCO for digital transformation projects, contributing to procurement strategies and achieving a 12%

cost reduction.

• Built automated ETL pipelines in Python to load financial data from ERP systems and MongoDB into data marts for analysis

and reporting.

• Worked with Agile teams, using JIRA and Confluence for sprint-level financial tracking and project budgeting, improving

visibility into financial performance.

Cred, India Aug2018 – Oct 2020

Junior Data Analyst

• Automated financial forecasting and profitability models using Python and Excel, reducing analysis time by 40% and

improving forecast accuracy.

• Analyzed customer credit behavior using MongoDB and SQL, generating actionable insights that led to a 10% increase in

active users.

• Developed and optimized SQL queries for consolidating large financial datasets, enabling more efficient variance analysis

and supporting monthly budget reconciliation.

• Conducted market and competitor research using Python and Tableau, providing insights that supported new product line

pricing strategies and business expansion.

• Ensured audit readiness by validating and cleaning transaction-level datasets, aligning with regulatory standards and

maintaining robust internal controls.

• Collaborated with cross-functional teams to support product enhancements and investment strategies, driving data-driven

decisions that improved overall business performance.

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