Business Analyst Project Manager

Akhil J

Business Analyst Project Manager Certified PMP

********************@*****.*** 469-***-****

Summary

Experienced Business Analyst & Project Manager with 8 years in Retail and Supply Chain domains, specializing in finance project execution, resource allocation, and stakeholder collaboration. Delivered detailed business and functional requirement documents (BRDs, FRDs) aligning technical solutions with business goals while maintaining full traceability. Led User Acceptance Testing and data migration activities using SQL, Excel, and ETL tools, ensuring seamless implementations. Designed interactive dashboards in Tableau and Power BI, translating complex datasets into actionable insights. Proficient in Oracle Cloud ERP configuration, solution design, and workflow optimization. Managed project plans and resource capacity using MS Project and Smartsheet, improving on-time delivery by 20%. Directed cross-functional coordination and enforced consistent governance through standardized processes. Demonstrated expertise in aligning business needs with technology solutions to support end-to-end project success.

Technical Skills

Software Development Methodologies: Waterfall, Agile, SAFe, Scrum, RUP, Kanban

Project & Work Management Tools: JIRA, Rally, Confluence, MS Project, Clarity

Software Tools: Microsoft Office, Microsoft Visio, Adobe Acrobat9 Professional, SharePoint

Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure, AWS

Data Visualization & Analytics: Power BI, Tableau, Alteryx, SSRS

Database: SQL, T-SQL, SAS, MS SQL, Oracle, MySQL, MS Access, MySQL Workbench, SQL Server

Testing & Automation Tools: Coded UI 3, QTP, SOAPUI, UFT, Selenium, Cucumber, Postman, HP LoadRunner, JMeter

DevOps & Workflow Tools: CI/CD Tools, GitHub, Workflow Automation

Process Mapping & Diagramming: Microsoft Visio, Gantt Chart, Documentum

Software Development Life Cycle

Education

Master of Science in Information Technology December 2015 – August 2017 Southern New Hampshire University, Manchester, New Hampshire

Bachelor of Science in Electronics & Communication Engineering August 2011 – June 2015 JNTU Hyderabad, India

Certifications

Attained Project Management Professional (PMP) – Project Management Institute.

Certified Microsoft Azure Administrator Associate – Microsoft.

Professional Experience

Role: Business Analyst Project Manager Client: C&S Wholesale Grocers June 2022 – Present Project Name: Resource Capacity Planning and Portfolio Management System Technologies: CloudIo Platform, Agile, Real-Time Data Processing, Interactive Dashboards, Workflow Automation, UAT, KPIs, Budget Forecasting Tools, Project Portfolio Management Systems, Microsoft Excel, JIRA, Confluence, Power BI

Directed the strategic design and deployment of a cloud-native Resource Capacity Planning application on the CloudIo platform, enhancing project portfolio visibility and optimizing resource management.

Directed project scope, schedule, and budget management, mitigating risks to ensure on-time delivery across all development phases.

Managed Agile teams including developers, data engineers, QA analysts, and business stakeholders, accelerating sprint velocity by 30%.

Engineered automated workflows and integrated real-time data streams, reducing manual resource allocation errors and streamlining operational processes.

Collaborated with finance and operations units to embed budget tracking and forecasting tools, enabling a 20% increase in forecasting accuracy and data-driven financial decisions.

Facilitated continuous stakeholder engagement through structured meetings and retrospectives, aligning project outcomes with evolving business objectives and maximizing value delivery.

Established and monitored key performance indicators (KPIs), driving measurable improvements such as a 15% uplift in project throughput and resource capacity utilization.

Led comprehensive User Acceptance Testing (UAT) and go-live readiness, achieving a first-pass acceptance rate and minimizing post-deployment defects.

Produced executive-level project reports highlighting risk status, ROI projections, and operational efficiencies, contributing to informed decision-making by senior leadership.

Maintained detailed project documentation and knowledge repositories, fostering transparency and enabling seamless onboarding of new team members.

Streamlined communication channels across diverse teams by implementing standardized reporting frameworks, enhancing transparency and accelerating project execution.

Developed and implemented change management strategies to support user adoption, reducing resistance and increasing engagement during system rollout.

Conducted root cause analysis on process bottlenecks and implemented solutions that improved resource allocation efficiency by 25%.

Designed and delivered training sessions and user manuals, empowering end-users and reducing support requests.

Applied data analytics and reporting tools to identify trends and provide actionable insights, supporting continuous improvement initiatives across project portfolios.

Project Name: Load Visibility System Technologies: Manhattan, Manugistics, Orbcomm, CAMS, C3, PeopleNet, Exe, WICS WMS, telematics, real-time data integration, UAT, regression testing, system integration

Led the complete development and deployment of a custom Load Visibility System (LVS), replacing FourKites and eliminating annual license expenses.

Coordinated with logistics, IT, and operations teams to define project scope, technical/business requirements, and ensure alignment with enterprise logistics strategy.

Integrated real-time telematics data from trucks, trailers, and carriers, enhancing location tracking accuracy by 25% and improving ETA visibility for operational planning.

Managed integration with key enterprise platforms (Manhattan, Manugistics, Orbcomm, CAMS, C3, PeopleNet, Exe, WICS WMS), ensuring consistent and reliable data flow.

Executed comprehensive testing cycles (UAT, integration, regression), guaranteeing platform reliability and data precision, resulting in a 30% decrease in post-deployment defects.

Directed stakeholder communication and executive reporting through interactive dashboards and detailed progress reports, accelerating decision-making and project transparency.

Collaborated with IS Security, EAI, and Enterprise teams to ensure compliance, security integration, and timely release management, meeting project deadlines.

Developed scalable architecture and business processes for the LVS to support future growth, positioning the platform to handle a 50% increase in logistics volume without performance degradation.

Facilitated cross-team alignment initiatives that streamlined workflows between LVS and internal systems, reducing data reconciliation time.

Utilized advanced project management and analytical tools (JIRA, Confluence, MS Project, SQL) to track milestones, manage risks, and deliver the project within budget and timeline constraints.

Championed the migration of legacy tracking processes to the new LVS, driving a increase in operational efficiency and enhancing end-user satisfaction.

Architected data validation and error-handling protocols that improved data integrity across integrated telematics sources, reducing discrepancies by 35%.

Led training sessions and workshops for logistics and IT teams to ensure smooth adoption of the LVS, resulting reduction in support tickets post-implementation.

Partnered with business analysts and data engineers to develop customized reporting tools, enabling real-time insights into freight movement and logistics performance.

Implemented continuous improvement initiatives through feedback loops and system monitoring, achieving a 15% boost in overall platform uptime and responsiveness.

Project Name: Enterprise Data Lake Modernization Technologies: Google Cloud Platform (BigQuery, Dataflow, Fusion), DataStage, ODI, Teradata, Exadata BI, Qlik, OBIEE, Tableau

Executed the seamless migration of legacy ETL systems (DataStage, ODI) and data warehouses (Teradata, Exadata BI) to a modern, cloud-native architecture on Google Cloud Platform.

Engineered and integrated multiple disparate data sources into a centralized Data Lake using Google Dataflow and Google Fusion, enhancing enterprise-wide data accessibility and analytics capabilities.

Led the redesign of ETL pipelines and workflows for parallel processing on GCP, achieving a 35% improvement in data ingestion latency and throughput.

Revamped BI reporting architecture by reconfiguring Qlik, OBIEE, and Tableau dashboards to query directly from Google BigQuery, resulting increase in report refresh speed and data accuracy.

Collaborated with data engineering and architecture teams to optimize data pipeline scalability and resiliency, enabling support for growth in data volume without performance degradation.

Directed the implementation of robust data governance frameworks and security protocols aligned with compliance standards, ensuring adherence to organizational policies.

Administered high-availability and disaster recovery setups for cloud data platforms, improving system uptime and minimizing risk of data loss during outages.

Coordinated comprehensive User Acceptance Testing (UAT), load testing, and cutover strategies, ensuring business operations were minimally impacted during transition periods.

Managed project scope, schedules, and cross-team resource allocation through Agile methodologies, delivering all milestones on time and within a 15% budget variance.

Developed detailed technical and process documentation, including data flow diagrams and change logs, streamlining knowledge transfer and reducing onboarding time for operations teams by 30%.

Maintained consistent stakeholder engagement through detailed status updates and presentations, fostering timely risk mitigation and informed strategic decisions across all project phases.

Led performance tuning and optimization initiatives for BigQuery datasets and ETL workflows, cutting cloud infrastructure costs by 20% while maintaining query efficiency.

Initiated automation of data pipeline monitoring and alerting using GCP native tools, reducing incident response time and improving system reliability.

Mentored junior engineers and analysts on cloud migration best practices, data architecture design, and ETL development, fostering a culture of continuous improvement and technical excellence.

Championed the alignment of data migration efforts with business intelligence strategy, resulting in a 25% increase in actionable insights delivered to end-users.

Client: C&S Wholesale Grocers December 2018 – May 2022 Business Analyst Tableau Developer Technologies: Tableau, Oracle Cloud (GL, AHCS, ARCS, FA), SQL, Oracle UPK, Smartsheet, PMP, Lean Six Sigma

Facilitated business requirements gathering with stakeholders and development teams through interviews and workshops, ensuring clear documentation and faster project delivery.

Authored detailed BRD, FRD, and Use Case documents with clear AS-IS and TO-BE process flows, improving cross-functional team alignment and reducing development rework by 25%.

Executed gap analysis and impact assessments, translating complex business needs into actionable technical specifications that streamlined development cycles and enhanced solution accuracy.

Applied PMP and Lean Six Sigma methodologies to optimize project workflows, increasing on-time delivery rates while maintaining quality standards and stakeholder engagement.

Customized and supported Oracle Cloud financial modules (GL, AHCS, ARCS, FA), aligning configurations with evolving business processes that improved financial close cycle efficiency by 15%.

Coordinated end-to-end system cutover activities, ensuring a seamless go-live experience with zero critical production issues and minimal operational disruption.

Led user acceptance and regression testing with cross-functional teams, identifying and resolving of critical defects prior to production release, ensuring robust software performance.

Developed and maintained insightful project dashboards and status reports in Tableau, delivering real-time insights to senior leadership and enhancing transparency across project phases.

Engineered scalable Oracle Cloud configurations and documented future-ready workflows, supporting IT architecture alignment and business strategy scalability.

Identified, tracked, and mitigated project risks and issues, resulting in a 30% reduction in escalations and sustained project continuity.

Designed and deployed advanced Tableau dashboards utilizing calculated fields, parameters, and data blending, which improved executive reporting efficiency.

Administered Tableau Server environment, managing user roles, permissions, and automated report scheduling to enable secure enterprise-wide data access and self-service analytics.

Migrated legacy reports to interactive Tableau visualizations, optimizing reporting infrastructure and enhancing accessibility on both web and mobile platforms by 35%.

Collaborated with database teams to optimize SQL queries and database objects, boosting data retrieval speeds and improving overall dashboard responsiveness.

Created Oracle UPK training content with interactive simulations and step-by-step guides, resulting in a 30% increase in end-user adoption.

Client: Quant Systems October 2017 – December 2018 Business Analyst Technologies: Oracle Cloud, Azure DevOps, Excel, SQL, JIRA, Microsoft Visio

Collaborated with cross-functional stakeholders to gather and analyze complex business requirements, translating them into clear, actionable functional specifications to support solution design.

Conducted comprehensive business process discovery and gap analysis, producing detailed AS-IS and TO-BE process models that accelerated solution design by 25%.

Developed and maintained a strong Requirements Traceability Matrix (RTM), ensuring alignment between business needs and testing coverage throughout all project phases.

Directed User Acceptance Testing (UAT) efforts, orchestrating test planning, execution, and defect management, which led to reduction in post-deployment issues.

Led data cleansing, mapping, and migration initiatives, ensuring data integrity and accuracy during transition, contributing to a 15% improvement in data quality metrics.

Collaborated closely with technical teams to perform data reconciliation, identifying and resolving discrepancies that improved reporting accuracy.

Configured Oracle Cloud applications in line with strategic business roadmaps, enabling scalable and future-proofed system capabilities that supported a 10% increase in operational efficiency.

Leveraged Azure DevOps (ADO) for end-to-end requirements management, sprint tracking, and issue logging, boosting team productivity through enhanced transparency and collaboration.

Produced detailed defect analysis reports and monitored issue resolution progress, which streamlined defect closure rates by 28% across testing cycles.

Championed process improvement initiatives by documenting and implementing recommendations, aligning system upgrades with business objectives that enhanced workflow efficiency.

Facilitated stakeholder communication and status reporting, ensuring timely updates that improved project delivery adherence by 15%.

Executed impact assessments and change management activities that minimized operational disruptions and supported smooth system rollouts.

Coordinated cross-departmental workshops and training sessions, increasing user adoption rates by 25% post-deployment.

Applied SQL and Excel to perform data reconciliation and trend analysis, uncovering reporting discrepancies and enabling a 15% improvement in data quality.

Enhanced project outcomes by integrating Agile methodology principles, driving iterative delivery and continuous feedback loops that shortened release cycles.

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