Business analyst

SUMMARY

Vasavi Annapurna Chintamaneni

Denton, TX +1-940-***-**** ******.*@**********.*** LinkedIn Portfolio Results-driven Business Analyst with 5+ years of experience delivering data-driven insights across telecommunications, consulting, and manufacturing domains. Skilled in business requirements analysis, BI reporting, and financial analytics using SQL, Python, Tableau, Power BI, and Excel, supporting $1B+ initiatives and enabling data-driven executive decision-making. SKILLS

Business & Functional Analysis: Requirements Gathering, BRD/FRD, User Stories, Use Cases, Gap Analysis, Stakeholder Management, Process Mapping (BPMN), UAT, Agile/Scrum

Data & BI Analytics: SQL, Python, Advanced Excel (Power Query, Power Pivot, VBA), Tableau, Power BI, KPI Dashboards, Data Validation, Data Quality, Statistical Analysis

Finance & Performance Analytics: FP&A, Budgeting & Forecasting, Variance Analysis, Cost Optimization, Revenue Analysis, Financial Modeling, ROI Analysis

Enterprise & Analytics Platforms: SAP (ECC, HANA, BTP), Snowflake, SQL Server, Oracle, Data Warehousing, ETL Fundamentals

Cloud & Modern Analytics: AWS (EC2, S3), Cloud-Based Reporting, API Integrations, Automation

Tools: JIRA, Confluence, Git, MS Visio, PowerPoint, Excel, ServiceNow

Certificates: Agile Business Analysis Requirements Elicitation for Business Analysis: Stakeholder Conversations PROFESSIONAL EXPERIENCE

AT&T, USA — Business Analyst Sep 2024 – Present

Led enterprise-scale business and data analysis initiatives for a Tier-1 telecom organization supporting 10M+ customers and $2B+ in annual revenue, translating complex business requirements into executive-ready analytics and decision-support solutions.

Analyzed large-scale customer usage, churn, and revenue datasets using SQL, Python, and Tableau, uncovering behavioral trends that increased customer retention by 12% and generated $180M+ in incremental upsell revenue annually.

Partnered cross-functionally with Finance, Product, and Sales teams to develop forecasting, variance, and revenue optimization models, improving forecast accuracy by 18% and enabling data-driven capital allocation decisions at the leadership level.

Designed and deployed automated KPI and executive dashboards (Tableau/Power BI) tracking ARPU, churn, EBITDA, OPEX, and revenue leakage, reducing manual reporting effort by 45% and accelerating executive decision cycles.

Led end-to-end requirements gathering, BRD/FRD documentation, stakeholder workshops, and UAT, ensuring 99% alignment between business objectives, financial goals, and delivered analytics solutions.

Architected a Telecom Revenue & Customer Intelligence Platform integrating billing, CRM, and network data (5+ TB/month), delivering real-time insights that drove $250M+ in revenue optimization and reduced operational leakage by 22% through advanced data quality controls and anomaly detection.

Accenture, India — Business Intelligence Analyst Nov 2021– Aug 2023

Delivered enterprise business intelligence and advanced analytics solutions for Fortune 500 clients across banking, retail, and manufacturing, supporting transformation programs valued at $500M+ and enabling data-driven executive decision-making.

Translated complex business, financial, and operational requirements into scalable data models, KPIs, and executive dashboards

(Tableau/Power BI), increasing leadership visibility into performance metrics by 35%.

Designed and optimized SQL-based reporting pipelines and automated ETL workflows, reducing reporting latency by 40%, improving data accuracy to 99.8%, and strengthening enterprise data governance.

Partnered closely with FP&A and finance stakeholders to perform cost, margin, and profitability analysis, uncovering $45M+ in annual cost-saving opportunities through spend optimization and process efficiency initiatives.

Supported Agile delivery cycles, including requirements documentation (BRD/FRD), sprint planning, UAT, and post-deployment validation, achieving a 100% sprint delivery success rate and high stakeholder satisfaction.

Ensured compliance with enterprise reporting standards and audit controls, improving confidence in financial and operational insights used by senior leadership.

Dixon technologies, India — Business Data Analyst Jan 2020 – Oct 2021

Analyzed large-scale production, supply chain, and inventory datasets supporting $1B+ manufacturing operations, improving demand planning accuracy by 20% and strengthening forecast reliability for quarterly and annual planning.

Designed and delivered executive operational dashboards (yield, downtime, inventory turns, vendor performance) using SQL, Excel, and BI tools, reducing excess inventory by 18% and improving real-time decision-making.

Conducted root cause analysis and KPI variance analysis across manufacturing and supplier metrics, driving $30M+ in annual cost savings through process optimization and operational efficiency initiatives.

Automated recurring Excel- and SQL-based reporting workflows, cutting manual reporting effort by 50%, improving data accuracy, and enabling on-time leadership and finance reviews.

Partnered cross-functionally with finance, operations, and supply chain teams to align data insights with quarterly business planning, budgeting, and performance targets, improving forecast-to-actual alignment. EDUCATION

Master’s in information systems & technology University of North Texas, Denton, TX

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