Senior Business Data & Analytics Analyst

MOUNIKA VEGI

Senior Business Analyst

USA ********@*****.*** 475-***-**** linkedin.com/in/mouni-sai-V14

PROFESSIONAL SUMMARY:

Technical Business Analyst and Business Data Analyst with 5+ years of experience driving enterprise transformation, compliance modernization, workflow optimization, analytics automation, and reporting modernization initiatives across healthcare, pharmaceutical, and enterprise environments. Proven success delivering measurable business outcomes including 35% improvement in reporting accuracy, 40% reduction in production defects, elimination of $400K+ in reporting discrepancies, and support for initiatives contributing to $1.5M+ in operational impact. Strong expertise in requirements gathering, Epic and User Story creation, SQL-based analytics, stakeholder management, Scrum execution, UAT leadership, audit governance, and cross-functional delivery. Adept at bridging business and technical teams to deliver scalable enterprise solutions in Agile and SDLC environments.

SKILL SET:

Category

Skills

Business Analysis & SDLC

Requirements Gathering, Stakeholder Management, User Stories, Acceptance Criteria, Functional Specifications, Workflow Analysis, Process Improvement, Gap Analysis, Root Cause Analysis, UAT, QA Testing, SDLC, Agile, Scrum, Waterfall

Data, Reporting & Analytics

SQL, Power BI, Tableau, Excel, KPI Dashboards, SSRS, Data Analysis, Reporting Analytics, Forecasting, Statistical Analysis, Data Validation, Business Intelligence, ETL Validation, Data Reconciliation, Data Modeling

Databases, Cloud & Enterprise Tools

SQL Server, Snowflake, AWS S3, Azure Data Factory (ADF), SAP GUI (T-Codes), Relational Databases

Programming & Automation

Python (Pandas, NumPy), R Programming, Workflow Automation

Project Management & Collaboration Tools

Jira, Azure DevOps, ServiceNow, qTest, Confluence, Microsoft Project

Documentation & Process Tools

Visio, Mural, BRD, FRD, Workflow Documentation, Process Flows, Technical Documentation

Compliance & Governance

SOX, HIPAA, GxP, GMP, Audit Support, Compliance Validation

EDUCATION:

Master of Science in Finance and Financial analytics – University of New Haven, 2022.

PROFESSIONAL EXPERIENCE

Organon, USA

Sr. Business Analyst Sept 2024 – Present

Responsibilities:

Directed business analysis and Agile delivery activities for 50+ enterprise initiatives across Compliance, Audit, Manufacturing, Supply Chain, Operations, and Reporting teams, maintaining 95% on-time delivery across cross-functional programs

Partnered with Product Owners, Compliance teams, auditors, developers, architects, Scrum teams, and business stakeholders to gather requirements, define business objectives, and align enterprise solutions with operational goals

Created Epics, decomposed features into user stories, defined acceptance criteria, and maintained Agile backlogs supporting scalable sprint execution and development delivery

Facilitated Scrum ceremonies including sprint planning, backlog refinement, daily stand-ups, retrospectives, and stakeholder review sessions supporting enterprise Agile transformation initiatives

Queried enterprise data stores including Snowflake, SQL Server, AWS S3, SAP, and Power BI datasets using advanced SQL analysis to identify reporting discrepancies, workflow inefficiencies, operational risks, and data quality issues

Eliminated $400K+ in reporting discrepancies annually through SQL-based ETL validation, source-to-target reconciliation, automated validation frameworks, and enterprise data quality analysis

Increased operational visibility by 30% through development of executive KPI dashboards tracking compliance adherence, workflow exceptions, operational metrics, inventory performance, and reporting health

Reduced manual reporting effort by 35% by automating SAP T-Code extraction, reconciliation, reporting validation, and workflow processes supporting enterprise operational teams

Improved enterprise data accuracy by 25% using anomaly detection, SQL optimization, automated reconciliation workflows, and Python-based validation frameworks

Reduced production defects and release leakage by 40% through leadership of UAT strategy, QA validation, test planning, defect management, and testing coordination using qTest, Jira, Azure DevOps, and ServiceNow

Conducted root cause analysis and troubleshooting resolving recurring production issues, reporting failures, workflow gaps, and enterprise data integrity concerns across operational systems

Achieved 100% audit readiness across SOX, GxP, GMP, and Non-GxP systems through structured SDLC governance, audit validation, compliance reviews, and enterprise documentation management

Developed BRDs, FRDs, workflow diagrams, process maps, implementation plans, executive presentations, and technical documentation using Visio, Mural, Confluence, and Microsoft Project

Improved onboarding and process efficiency by 20% through standardization of enterprise workflow documentation, reporting standards, and technical process diagrams

Supported implementation, post-production stabilization, and enterprise production support activities ensuring successful adoption of reporting and workflow modernization solutions

United Health Group (Optum), Texas

Business Data Analyst Feb 2023 `– Aug 2024

Responsibilities:

Analyzed and validated 2M+ healthcare records including claims, provider, and member datasets improving reporting accuracy by 35% and strengthening enterprise operational decision-making

Collaborated with Compliance, Audit, Reporting, Operations, and IT stakeholders to gather requirements, define functional specifications, and support enterprise reporting modernization initiatives

Developed user stories, acceptance criteria, workflow documentation, BRDs, reporting specifications, and implementation documentation supporting Agile delivery and analytics transformation programs

Facilitated stakeholder meetings, sprint discussions, requirement clarification sessions, testing walkthroughs, and cross-functional reviews ensuring alignment between business users and technical delivery teams

Contributed to a $1.2M operational optimization initiative through development of Power BI dashboards tracking operational performance, utilization, care quality, and enterprise KPIs

Eliminated 20+ hours/week of manual reporting effort through automation of SQL reconciliation, reporting validation, workflow automation, and Python-based reporting processes

Reduced recurring reporting issues by 27% through SQL analysis, root cause investigations, enterprise reconciliation, troubleshooting activities, and statistical validation techniques

Validated ADF, SQL Server, Snowflake, and AWS S3 data pipelines ensuring zero-data-loss outcomes during enterprise migration and reporting modernization initiatives

Improved release stability and reduced production defects through UAT leadership, QA validation, defect management, test planning, and issue tracking using qTest, Jira, Azure DevOps, and ServiceNow

Accelerated issue resolution and stakeholder communication through centralized incident management, workflow tracking, production support activities, and enterprise support coordination

Supported HIPAA and SOX governance initiatives through enterprise data validation, audit support, compliance reviews, and secure handling of sensitive healthcare datasets

Developed forecasting models, analytical solutions, executive dashboards, and KPI reporting supporting enterprise operational planning and business strategy

Accenture, India

Data Analyst Jun 2019 – Jul 2021

Responsibilities:

Improved enterprise reporting performance by 30–35% through SQL query optimization, ETL workflow enhancements, and reporting automation supporting operational and financial reporting systems

Collaborated with business stakeholders, QA teams, Scrum teams, and technical delivery teams to gather requirements, analyze workflows, and deliver scalable enterprise reporting solutions

Developed Tableau dashboards, KPI reporting solutions, workflow diagrams, executive presentations, and operational analytics improving enterprise visibility and business decision-making

Reduced reporting inconsistencies and improved enterprise data reliability through structured validation, reconciliation, root cause analysis, QA initiatives, and troubleshooting activities

Automated recurring operational reporting workflows using SQL, Excel, and Python significantly reducing manual effort and improving enterprise reporting turnaround times

Supported production troubleshooting, workflow optimization, implementation activities, and enterprise reporting modernization initiatives improving operational continuity and reporting efficiency

Developed BRDs, workflow charts, technical specifications, reporting documentation, and process standards improving enterprise reporting consistency and operational performance

Supported Agile delivery activities including sprint coordination, backlog discussions, requirement clarification, UAT support, and defect tracking using Jira and ServiceNow

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