Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic

Neel S

Phoenix,AZ

Summary

Perceptive Senior Business Analyst with 7+ years driving successful business processes for health sector and financial sector companies. Dedicated to maximizing impact of key performance metrics to enhance and expand business operations.Expert in business analytics and data-driven solutions.

Overview

7
7
years of professional experience
1
1
Certification

Work History

Senior Business Analyst

GSK
10.2021 - Current


  • Developed business cases, securing a 25% funding increase and $2M in new investments through market analysis and financial modeling with Excel and PowerPoint.
  • Supported leadership team with reporting, analysis, and business presentations to inform divisional strategies.
  • Interacted with internal customers to understand business needs and translate into requirements and project scope.
  • Delivered strategic analytics reports, driving a 10% revenue increase with Excel and SQL, and conducted benchmarking for competitive analysis
  • Presented data-driven insights to senior leadership, contributing to strategic alignment of business objectives.
  • Generated weekly project reports with 100% accuracy, including project time tracking, using Google Sheets for tracking metrics and updates.
  • Ensured smooth system transitions, conducted 10+ stakeholder interviews to gather business requirements, and trained 50+ end-users, achieving a 90% adoption rate post-go-live.
  • Designed and developed data pipelines to process patient records, insurance claims, and medical billing data, ensuring compliance with HIPAA regulations
  • Enhanced efficiency by 20% through process improvement initiatives tracked with Power BI and Jira, and documented as-is capabilities for critical workflows.
  • Led the migration of legacy patient record systems to cloud-based health data platforms, improving interoperability and access for clinicians, reducing retrieval times by 20%.
  • Designed KPIs, boosting team performance by 30% with Power BI real-time dashboards.
  • Improved data quality by 20% through bi-weekly audits with Alteryx and implementing best practices for data governance.
  • Integrated patient data across Electronic Health Records (EHR) and Tableau dashboards, improving care coordination and reporting accuracy for public health initiatives
  • Implemented a comprehensive data governance framework highlighting discrepancies and enforcing company standards, reducing data inconsistencies by 22%.
  • Produced SQL queries to analyze healthcare data, enhancing report accuracy by 25% for management decisions.

Business Analyst

IBM
06.2019 - 10.2021
  • Refined forecasting accuracy through the development of advanced analytical models using Python, leading to a 25% increase in forecast precision.
  • Trained junior analysts on advanced SQL techniques, fostering an environment of continuous learning and growth.
  • Implemented data validation process that reduced error rates by 40% in membership databases.
  • Aligned analytical projects with business goals, achieving an enhancement in operational processes and outcomes across varied teams.
  • Successfully communicated complex analytical concepts to non-technical audiences through technical documentation, workshops, and presentations.
  • Identified 3 major improvement opportunities, increasing market share by 15% using and Google Analytics.
  • Resolved 95% of post-go-live issues within the first week, leveraging ServiceNow for incident tracking and supporting system go-live activities like training and logistics.
  • Enhanced efficiency by 20% through process improvement initiatives tracked with Power BI and Jira.
  • Delivered strategic financial reports that informed policy decisions and improved financial management, driving a 10% increase in operational effectiveness using Excel and SQL.
  • Orchestrated with the QA team to define the testing strategy for financial reporting systems, including scope, approach, resources, and schedules for testing activities, ensuring compliance with public sector financial standards and regulations.
  • Collaborated with cross-functional teams to develop statistical models that predicted consumer behaviors, achieving a 25% increase in targeted campaigns' effectiveness.

Data Analyst

Accenture
10.2017 - 05.2019
  • Facilitated the development and implementation of a new data reporting system, improving data processing time by 45%.
  • Aligned analytical projects with business goals, achieving an enhancement in operational processes and outcomes across varied teams.
  • Produced monthly reports using advanced Excel spreadsheet functions.
  • Automated data extraction processes, reducing manual task time by 200 hours annually.
  • Collaborated with stakeholders to understand and analyze business requirements, ensuring they are testable and measurable.
  • Monitored test execution progress and provide regular updates to stakeholders, including reporting on key metrics like test coverage and defect trends.
  • Facilitated UAT by preparing business users, assisting in test script execution, collecting feedback, and ensuring alignment with acceptance criteria.

Education

Master of Science - Business Analytics

Syracuse University
Syracuse, NY

Skills

  • Project Management: Agile, Scrum, SDLC, Project Scheduling
  • Business Analysis Tools: Jira, Confluence, ServiceNow
  • Operational Analysis: Process Improvement, Efficiency Analysis, Workflow Optimization, Business Metrics
  • Tools for Collaboration: Microsoft Teams, Zoom, Google Workspace, Slack
  • Data Analysis & Reporting: SQL, Excel, Alteryx, Python
  • Cloud & Database Technologies: AWS, Azure, MySQL
  • Data Modeling & Visualization: Power BI, Tableau, Microsoft Visio, Data Flow Diagrams
  • System Integration & Testing: UAT (User Acceptance Testing), Systems Integration Testing, Functional Testing, Regression Testing

Accomplishments

Operational Efficiency Improvement: Used predictive modeling to make data-informed strategic decisions, improving operational efficiency by 15%.

Enhanced Report Accuracy: Developed SQL queries to boost report accuracy by 25%, aiding in management decisions.

Error Rate Reduction: Implemented a validation process for databases, reducing error rates by 40%.


Certification


  • Amazon Web Services (AWS) Certified Data Engineer
  • Tricentis Tosca Product Consultant Certification

Timeline

Senior Business Analyst

GSK
10.2021 - Current

Business Analyst

IBM
06.2019 - 10.2021

Data Analyst

Accenture
10.2017 - 05.2019

Master of Science - Business Analytics

Syracuse University
Neel S