Senior Business Analyst

Senior Business Analyst

Basic Skills (Must Have):

• Strong experience in requirement elicitation and documenting business and functional requirements
• Hands-on experience with tools like JIRA, Confluence, Azure DevOps
• Ability to create BRDs, User Stories, Process Flows, and Wireframes
• Strong stakeholder management and communication skills
• Deep understanding of Agile methodologies & Scrum frameworks
• Experience in Backlog Grooming, Estimation, and Agile ceremonies
• Familiarity with SQL and advanced Excel for data analysis
• Exposure to AI/ML-driven solutions or products
• Strong problem-solving and critical thinking abilities
• Ability to manage multiple priorities and work in fast-paced environments

Preferred Skills (Good to Have):

• Scrum Master Certification (CSM, PSM)
• Business Analytics certifications (CBAP, CCBA, PMI-PBA)
• Experience with wireframing/prototyping tools (e.g., Figma, Balsamiq)
• Exposure to BI/Analytics tools like Power BI or Tableau
• Familiarity with cloud platforms (e.g., AWS, Azure)
• Experience with API integrations and data migration projects
• Domain knowledge in industries such as finance, healthcare, or retail
• Experience working on AI/ML initiatives or with data science teams
• Understanding of data flow and structure in AI systems (structured/unstructured)
• Basic understanding of AI concepts (e.g., recommendation engines, NLP)
• Awareness of ethical AI considerations and data privacy best practices

Any Other:

• Bachelor's degree in Computer Science, MCA, or related technical field
• Excellent interpersonal skills and customer-centric attitude
• Ownership mindset with leadership and mentoring skills; strong team player
• Flexible, adaptable, and quick learner of new domains and tools
• Passion for emerging technologies like AI, ML, RPA, and automation

Key Responsibilities:

• Act as a liaison between customers, stakeholders, and technical teams
• Elicit, document, and manage business and functional requirements
• Prepare clear documentation (BRDs, user stories, use cases)
• Break down requirements into epics, user stories, and tasks
• Analyse current and future state processes; identify improvement opportunities
• Drive project planning, risk assessment, and effort estimation
• Collaborate with development, QA, and product teams for smooth delivery
• Assist in UAT planning and execution
• Participate in change management, training, and communication planning
• Work with data science/AI teams to translate business needs into AI/ML use cases
• Contribute to identifying AI opportunities across internal and customer-facing processes