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 TableauFamiliarity with cloud platforms (e.g., AWS, Azure)Experience with API integrations and data migration projectsDomain knowledge in industries such as finance, healthcare, or retailExperience working on AI / ML initiatives or with data science teamsUnderstanding of data flow and structure in AI systems Basic understanding of AI concepts (e.g., recommendation engines, NLP)Awareness of ethical AI considerations and data privacy best practicesAny Other :
Bachelor's degree in Computer Science, MCA, or related technical fieldExcellent interpersonal skills and customer-centric attitudeOwnership mindset with leadership and mentoring skills; strong team playerFlexible, adaptable, and quick learner of new domains and toolsPassion for emerging technologies like AI, ML, RPA, and automationKey Responsibilities :
Act as a liaison between customers, stakeholders, and technical teamsElicit, document, and manage business and functional requirementsPrepare clear documentation (BRDs, user stories, use cases)Break down requirements into epics, user stories, and tasksAnalyse current and future state processes; identify improvement opportunitiesDrive project planning, risk assessment, and effort estimationCollaborate with development, QA, and product teams for smooth deliveryAssist in UAT planning and executionParticipate in change management, training, and communication planningWork with data science / AI teams to translate business needs into AI / ML use casesContribute to identifying AI opportunities across internal and customer-facing processes(ref : hirist.tech)