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Chennai, Tamil Nadu, IND
In-Office
Expert/Leader
Artificial Intelligence • Analytics • Business Intelligence • Consulting
The Role
Experienced Business Analyst responsible for gathering and documenting business and technical requirements, analyzing processes, recommending IT solutions, and bridging business and technology teams. The role develops user stories, use cases, process flows, and acceptance criteria; supports Agile delivery, UAT, feasibility studies, workshops, and sprint planning; and contributes to enterprise IT, cloud, integration, and software development initiatives.
Summary Generated by Built In

 

Job Title: Business Analyst 

Job Summary:

We are looking for an experienced Business Analyst with 10+ years of experience to join our IT & Analytics team. The ideal candidate will be responsible for gathering and analysing business and technical requirements, facilitating communication between stakeholders, and ensuring successful implementation of IT solutions. The role requires strong analytical thinking, problem-solving skills, and expertise in software development lifecycle (SDLC) methodologies.

 

Key Responsibilities:

  • Work closely with business stakeholders, IT teams, and developers to gather and document functional and non-functional requirements.
  • Analyse business processes and recommend IT solutions to improve efficiency and productivity.
  • Act as a bridge between business users and IT teams to ensure alignment of technology solutions with business needs.
  • Develop user stories, use cases, process flows, and wireframes to support system design and implementation.
  • Conduct gap analysis and feasibility studies for IT projects.
  • Collaborate with software development teams in Agile/Scrum environments to ensure timely delivery of solutions.
  • Facilitate workshops, requirement-gathering sessions, and sprint planning meetings.
  • Define acceptance criteria, assist in user acceptance testing (UAT), and ensure quality assurance of IT solutions.
  • Stay updated with emerging technologies, IT trends, and best practices in business analysis.
  • Exposure to cloud computing (AWS, Azure, or Google Cloud)., APIs, system integrations, and database management.

Required Qualifications & Skills:

  • Education: Bachelor's/master’s degree in computer science, Information Technology, Business Administration, or a related field.
  • Experience: Minimum 10+ years of experience in business analysis within an IT or software development environment.
  • Strong understanding of software development lifecycle (SDLC), Agile, Scrum, and Waterfall methodologies.
  • Proficiency in business analysis tools such as JIRA, Confluence, Microsoft Visio, or Lucidchart.
  • Ability to analyze and interpret complex business and IT requirements.
  • Excellent communication, stakeholder management, and documentation skills.
  • Experience working with enterprise IT systems, cloud technologies, and integration projects is a plus.
  • Certification in Business Analysis (CBAP, CCBA, PMI-PBA) or Agile (CSPO, SAFe) is a plus.

 

 

 

 



Skills Required

  • Bachelor's or master's degree in Computer Science, Information Technology, Business Administration, or a related field
  • 10+ years of business analysis experience in an IT or software development environment
  • Strong understanding of SDLC, Agile, Scrum, and Waterfall methodologies
  • Proficiency with JIRA, Confluence, Microsoft Visio, or Lucidchart
  • Ability to analyze and interpret complex business and IT requirements
  • Excellent communication, stakeholder management, and documentation skills
  • Experience with enterprise IT systems, cloud technologies, and integration projects
  • Business Analysis certification such as CBAP, CCBA, or PMI-PBA
  • Agile certification such as CSPO or SAFe
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The Company
117 Employees
Year Founded: 2008

What We Do

Kavi Global is a data analytics and AI company that helps enterprises make intelligent, data-driven decisions. It provides analytics software, solutions, and services spanning strategy, design, development, implementation, and support. Its capabilities include business intelligence, data warehousing, big data, advanced analytics, machine learning, data management, and AI, serving organizations across multiple industries and supporting digital transformation initiatives.

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