Logesh Krishnamoorthy — Business Analyst & ERP Services
Logesh Krishnamoorthy Business Analyst & ERP Specialist

Career Timeline

Experience Built on Operational Clarity.

Proven track record translating enterprise operations into scalable software specifications across 500+ Jira tickets and multi-million dollar ERP workflows.

Oct 2025 — Present Standard Insights Chennai, India

Business Analyst – Manufacturing ERP Specialist

Full-time · Manufacturing ERP & Enterprise Applications
  • ERP Workflow & Process Design: Designed and documented end-to-end Manufacturing and Cannabis ERP workflows across inventory, procurement, production planning, and warehouse management to resolve operational gaps.
  • Requirements & Jira Operations: Authored 500+ Jira tickets, translating complex operational needs into user stories, BRD/FRD specs, and process diagrams in Confluence for Agile development.
  • Cross-Functional Collaboration: Partnered with business leads, developers, UI/UX designers, and QA to align expectations and maintain release documentation across ERP and digital platforms.
  • AI Productivity: Applied GenAI models (ChatGPT, Claude, Gemini) to accelerate product research, requirement generation, and solution validation.
Jan 2025 — Aug 2025 Impiger Technologies Coimbatore, India

Business Analyst Intern

Internship · Requirements Engineering & Agile Delivery
  • Elicited and validated cross-departmental requirements via stakeholder interviews to produce comprehensive user stories and BRD/FRD artifacts.
  • Collaborated closely with engineering, UI/UX, and QA teams in Jira to clarify specifications and support Agile delivery milestones.
  • Assisted in mapping current-state and future-state workflows to support development and quality assurance sprints.
  • Participated in daily standups, sprint reviews, and retrospective sessions to maintain requirement transparency.

Sanitization Notice: Work achievements and case studies are described at a domain and methodology level, strictly preserving confidentiality of proprietary algorithms, private client datasets, and internal credentials.