Business Analyst Power Bi

SUMMARY

Narasimha Sravan Varma Uppalapati

Data Business Analyst

***********.*@*********.*** +1-786-***-**** LinkedIn

● Results-driven Data Business Analyst with 5 years of experience, specializing in data analysis, dashboard development, and process optimization.

● Proven ability to leverage tools like SQL, Python, Power BI, and Tableau to deliver insights that enhance business strategies and drive measurable outcomes.

● Skilled in requirement gathering, stakeholder collaboration, and translating business needs into technical solutions using Agile and Waterfall methodologies.

● Successfully led cross-functional initiatives that resulted in cost reduction, efficiency improvement, and fraud risk mitigation across enterprise-scale projects.

SKILLS

● Languages & Tools: SQL, Python, Excel, Power Query

● Visualization: Power BI, Tableau, Excel Dashboards

● Database: Oracle, MySQL, MS SQL Server, Teradata

● Data Handling: ETL, Data Cleansing, Data Mapping, Data Modeling

● Analytics Techniques: Cost/Benefit Analysis, GAP Analysis, Risk Analysis, Impact Analysis, SWOT, Budget Forecasting, KPI Management

● Business Tools: Microsoft Visio, Rational ClearQuest, JAD, RTM, UAT Coordination

● Data Skills: Data Cleaning, ETL Processes, Data Modeling, A/B Testing, Trend Analysis, Data Validation

● Operating Systems: Windows, Linux

● Documentation: BRD, FRD, Use Cases, User Stories

● Cloud/Platforms: AWS (Athena, S3), Azure Data Factory (basic knowledge)

● Other Tools: Alteryx, Microsoft Power Platform, ServiceNow, SAP EDUCATION

Master of Science in Computer Science May 2025

Florida International University, Miami, FL

Bachelor in Computer Science and Engineering Jun 2020 MVGR College of Engineering India

EXPERIENCE

MetLife, USA Jan 2025 – Present

Data Business Analyst

● Led requirements gathering for a $2.5M risk analytics project, using JIRA and Confluence to track over 200 user stories, improving product delivery speed by 20%.

● Automated regulatory reporting using SQL and Python, reducing manual effort by 35 hours/week and improving data accuracy by 98%.

● Developed Power BI dashboards for transaction risk trends, enabling leadership to reduce fraud exposure by 22% quarter- over-quarter.

● Collaborated with Data Engineering to design an ETL pipeline in Python, improving ingestion latency from 6 hours to 1 hour.

● Partnered with cross-functional teams to validate over 500K+ records, ensuring compliance with internal data governance policies.

● Created ad-hoc financial analysis for the commercial banking unit, helping identify $1.2M in potential cost optimization opportunities.

● Proficient in writing complex SQL queries, performing data validation, and transforming raw data into clear, actionable insights for stakeholders.

Capgemini, India Jan 2019 – Aug 2023

Data Business Analyst

● Spearheaded data analysis for a leading insurance client using SQL and Excel, identifying claim anomalies and reducing fraud-related losses by 17%.

● Designed Tableau dashboards to track KPIs across 10+ business functions, improving decision-making time for executives by 30%.

● Conducted GAP analysis and created BRD/FRDs for an enterprise CRM migration impacting 300+ users, resulting in a 25% boost in sales team efficiency.

● Streamlined data collection workflows using Power Query, cutting manual reporting hours by 40% across departments.

● Worked closely with developers and QA teams in Agile sprints to deliver insights-based features, increasing client satisfaction scores by 12%.

● Executed UAT for a cloud migration project with 100+ test cases, ensuring data integrity during the transition to Azure.

● Collaborated with data engineering and product teams to build scalable ETL pipelines, ensuring high data quality and timely availability for business use.

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