Thane, Maharashtra, India
Information Technology
Full-Time
PANMACH
Overview
Senior Business Analyst.
Key Responsibilities
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
- 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
- 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
- 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
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