Chaitanya Mumar

Business Analyst with 7 years of experience across healthcare, IT services, and enterprise technology programs, owning workstreams end-to-end with minimal supervision — from requirements discovery and data analysis through delivery and reporting. Hands-on experience with data analysis and reporting using advanced Excel (financial modeling, complex formulas), Python, and Power BI to build analyses and dashboards that support business decision-making. Experienced with AI and automation tools, applying them to streamline workflows, reduce manual effort, and improve the speed and accuracy of analytical and BA deliverables.

Strong facilitation and stakeholder engagement skills, leading workshops, discovery sessions, and cross-team discussions across business units, IT teams, and vendor partners as a trusted liaison between technical and non-technical stakeholders. Skilled in Agile delivery (Scrum, Kanban) and BA/ALM tools including Jira, Azure DevOps, Confluence, and SharePoint, managing requirements traceability, sprint planning, backlog grooming, and test coordination.

Background in data management, data governance, and data quality, with hands-on SQL experience for data validation, business rule verification, and system output accuracy. Proficient in MS Office Suite (Excel, Word, PowerPoint) with strong emphasis on MS Visio for process flow diagrams, workflow mapping, and current/future-state process modeling (BPMN). Proven leadership in BA Center of Excellence initiatives, standardizing BA methods, templates, and documentation standards that improved requirements quality and delivery consistency across enterprise programs.

Excellent written and verbal communication skills, translating complex technical and data concepts into clear, structured insights for executives, technical teams, and end users.

Senior Business Analyst at Cerner Corporation (2023-12 – Present)

• Served as servant leader for a team of Business Analysts, removing obstacles, coaching growth, and promoting strong BA practices that improved quality, consistency, and impact of BA deliverables across enterprise programs.
• Owned multiple BA and analytical workstreams end-to-end with minimal supervision, from requirements discovery through data validation, delivery, and reporting, across three concurrent project teams.
• Built advanced Excel-based financial and operational models and Python scripts to analyze data sets and streamline recurring reporting, reducing manual analysis time.
• Developed Power BI dashboards to visualize key requirements-quality and traceability metrics, supporting data-driven decision-making for stakeholders and leadership.
• Applied AI and automation tools to streamline repetitive BA workflows, including documentation and data validation tasks, improving efficiency and turnaround time for deliverables.
• Leveraged web analytics tools (Adobe Analytics, Google Analytics, Google Tag Manager) to analyze user behavior and platform performance data, informing requirements and prioritization decisions for digital initiatives.
• Discovered inconsistent requirements quality and no RTM traceability across three project teams; established unified BA methods, documentation standards, and validation processes from scratch, reducing requirements rework by approximately 40%.
• Facilitated workshops, discovery sessions, and cross-team discussions with product owners, project managers, and leadership to prioritize requirements, manage risks, and maintain project momentum.
• Shaped BA practice standards through the BA Center of Excellence, standardizing methods, templates, and documentation that improved team performance and deliverable quality organization-wide.
• Mentored and developed Business Analysts, identifying opportunities to improve BA processes, tools, and team capabilities, increasing efficiency, consistency, and quality across the BA function.
• Maintained Agile delivery in Jira and Azure DevOps using Scrum and Kanban, managing requirements traceability, sprint planning, and BA deliverable tracking across enterprise programs.

Business Analyst at Wellcare (2022-08 – 2023-11)

• Owned end-to-end business analysis lifecycle for enterprise programs, driving requirements elicitation, BRDs, RTMs, user stories, acceptance criteria, and data requirements aligned with business value and technical feasibility.
• Recovered a stalled project by reconstructing requirements artifacts, resolving 30+ undocumented requirements and establishing RTM traceability, enabling downstream development and testing execution.
• Led cross-functional workshops with business stakeholders, IT teams, and vendors, driving requirements validation, scope clarity, and consensus on solution design.
• Performed gap analysis and impact assessment to identify process inefficiencies, system limitations, and risk areas influencing delivery timelines.
• Designed current-state and future-state process models using BPMN/Visio, enabling stakeholders to visualize process improvements and operational efficiencies.
• Established traceability frameworks linking business requirements, user stories, test cases, and defects, strengthening end-to-end validation and audit readiness.
• Drove UAT strategy and execution, defining test scenarios, validating acceptance criteria, and coordinating defect triage for release readiness.
• Applied SQL-based data validation techniques to verify data integrity, business rule enforcement, and system output accuracy.
• Maintained and prioritized product backlogs in Jira, facilitating sprint planning, backlog grooming, and retrospectives aligned with Agile delivery cycles.
• Produced executive-level documentation and presentations, translating complex technical concepts into clear, structured insights for non-technical stakeholders.
• Mentored junior Business Analysts, improving elicitation techniques, documentation rigor, and stakeholder communication effectiveness.

Business Analyst at GlobalLogic Technologies (2020-08 – 2021-12)

• Partnered with architecture and development teams to translate business requirements into technical specifications, ensuring alignment with system design and integration points.
• Defined and enforced requirements governance standards across SDLC phases, improving documentation quality and reducing ambiguity and rework.
• Facilitated discovery sessions and stakeholder interviews to elicit functional and data requirements for enterprise-scale initiatives.
• Documented current- and future-state workflows using Visio, supporting process improvement and solution design discussions.
• Built and maintained a requirements traceability matrix linking business requirements, user stories, test cases, and defects.
• Collaborated on data governance initiatives, defining data quality rules, data definitions, and data lineage documentation.
• Supported functional, non-functional, and data validation testing, coordinating with QA to ensure comprehensive test coverage.
• Participated in Agile ceremonies (sprint planning, backlog grooming, retrospectives) in Jira, managing epics and acceptance criteria.
• Coordinated with QA and DevOps teams to align requirements, test automation, and release validation workflows.
• Monitored post-production performance, tracking defects and supporting continuous improvement initiatives.

Junior Business Analyst at GSS InfoTech (2019-08 – 2020-07)

• Supported business analysis under senior guidance, contributing to BRDs, FRDs, RTMs, user stories, acceptance criteria, and process flow diagrams for enterprise-scale initiatives.
• Built and maintained a BA reference guide standardizing BRD templates, RTM formats, user story writing standards, and acceptance criteria patterns, later adopted across BA workstreams.
• Participated in stakeholder workshops and discovery sessions, capturing business needs, functional requirements, and system expectations under senior direction.
• Assisted in current-state vs. future-state analysis, identifying process gaps and improvement opportunities aligned with business objectives.
• Supported UAT and functional testing, executing test cases, validating requirements traceability, and documenting defects in Jira.
• Contributed to data analysis and data requirements documentation, including data mapping, data validation rules, and data