Senior Business Analyst

Job Description :

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.

Requirements :

- Strong experience in requirement elicitation and documenting business and functional requirements.

- Hands-on experience with tools like JIRA, Confluence, and 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 a quick learner of new domains and tools.

- Passion for emerging technologies like AI, ML, RPA, and automation.