Praveen K

Business System analyst

Ford Motor • Vollzeit

Sep 2025 - Mar 2026 • 6 mos

Verification & Validation (V&V) Analytics and Reporting Platform Role: Business System Analyst Client: Ford Motor Company Duration: Oct 2025 – Mar 2026 Project Overview Worked on an enterprise Verification & Validation (V&V) Analytics and Reporting Platform designed to improve reporting accuracy, KPI visibility, requirement traceability, and validation workflows across multiple enterprise systems. The project focused on validating business-critical reporting outputs and ensuring alignment between business expectations and dashboard metrics. Key Responsibilities Gathered and analyzed business and reporting requirements from stakeholders. Prepared business documentation including BRD, functional workflows, validation scenarios, and process flow diagrams. Converted business requirements into Agile user stories and acceptance criteria. Performed SQL-based data validation and reconciliation across multiple enterprise systems. Validated KPI calculations, dashboard metrics, and reporting outputs against source system data. Maintained Requirement Traceability Matrix (RTM) to ensure end-to-end requirement coverage. Coordinated with QA teams during verification and validation cycles. Supported UAT execution and defect tracking using Jira and Jama. Created workflow diagrams and system interaction models using Visio and Miro. Collaborated with business stakeholders, reporting teams, developers, and QA teams to resolve reporting discrepancies. Deliverables BRD and Functional Requirement Documents User Stories & Acceptance Criteria Requirement Traceability Matrix (RTM) KPI Validation Documentation UAT Test Scenarios & Test Cases Process Flow Diagrams Dashboard Validation Reports Defect Tracking Reports Tools & Technologies Jira, Jama, SQL, Excel, Visio, Miro, TestRail

Business Analyst

Automatic Data Processing • Vollzeit

Sep 2022 - Jun 2025 • 2 yrs 9 mos

Project Overview Worked on enterprise payroll reporting and operational analytics initiatives supporting business reporting, KPI tracking, workflow optimization, and enterprise data validation processes. The project involved close coordination with Operations, Finance, Technical, and Reporting teams to improve reporting accuracy and business process efficiency. Key Responsibilities Gathered business requirements through stakeholder discussions and workshops. Created BRD, FRD, user stories, RTM, and business process documentation. Performed SQL-based analysis to validate payroll reports, operational KPIs, and reporting metrics. Identified reporting gaps, workflow inefficiencies, and data inconsistencies. Coordinated with cross-functional teams including Finance, Operations, QA, and Development teams. Created workflow diagrams and system interaction flows using Visio. Supported Agile sprint planning, backlog grooming, and requirement clarification. Managed defect tracking and issue resolution support. Supported UAT testing by validating reports and analytics outputs against business expectations. Collaborated with technical teams to validate business rules and reporting logic implementation. Deliverables Business Requirement Documents (BRD) Functional Requirement Documents (FRD) Agile User Stories Requirement Traceability Matrix (RTM) SQL Validation Queries UAT Test Cases & Scenarios Workflow & Swimlane Diagrams KPI Reporting Validation Documents Gap Analysis Documentation Tools & Technologies Jira, SQL, Excel, Seibel CRM, Visio, ADP Vantage

Business analyst

Tata Consultancy Services • Vollzeit

Feb 2018 - Sep 2022 • 4 yrs 7 mos

Worked on enterprise data quality and reporting validation initiatives focused on improving business data accuracy, reporting consistency, operational efficiency, and validation workflows across large-scale business listing datasets. The project aimed to identify reporting discrepancies, improve data validation processes, and support operational reporting accuracy. Key Responsibilities Performed large-scale data quality analysis and reconciliation across multiple enterprise systems. Identified missing, duplicate, and inconsistent business data records. Conducted reporting validation and investigated operational reporting discrepancies. Implemented data validation checks and quality monitoring workflows. Collaborated with technical and business teams to improve data validation processes. Supported process improvement initiatives through data analysis and operational insights. Created operational reports and data quality summaries. Worked closely with stakeholders to resolve reporting and data inconsistencies. Assisted in workflow optimization and reporting accuracy improvements. Deliverables Data Quality Validation Reports Reporting Reconciliation Documents Data Analysis Reports Process Improvement Recommendations Operational Reporting Dashboards Validation Checklists Data Consistency Reports Tools & Technologies SQL, Excel, Jira, Reporting Tools, Data Validation Frameworks