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: Bachelors 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