Business Analyst (Data & Global Stakeholders)

We are looking for a Business Analyst - Data and Analytics who can bridge the gap between business stakeholders and Data/Technology teams. The role requires strong stakeholder management, communication, requirements gathering, and data understanding, with prior experience working directly with international clients/stakeholders being mandatory. Exposure toAI/Generative AI is a good-to-have, not mandatory.

The candidate will have responsibilities across the following functions:

Business Analysis and Requirements:

• Engage with business stakeholders to understand business problems, processes, and requirements.
• Translate requirements into BRDs, FRDs, user stories, workflows, and acceptance criteria.
• Conduct requirement-gathering workshops and stakeholder discussions.
• Identify dependencies, risks, gaps, and opportunities for process improvement.

International Client and Stakeholder Management:

• Work directly with international clients/stakeholders across geographies and time zones.
• Lead requirement discussions, project updates, demos, and stakeholder meetings.
• Communicate complex business and technical concepts clearly to both technical and non-technical audiences.
• Manage stakeholder expectations, priorities, dependencies, and escalations effectively.
• Coordinate across Business, Product, Data, Engineering, and Analytics teams.

Data and Analytics:

• Understand data requirements, source systems, data flows, business rules, and reporting requirements.
• Work closely with Data Engineering, Analytics, BI, and Product teams.
• Use SQL for basic data querying, analysis, and validation.
• Support development of dashboards, analytics solutions, and data products.
• Define and track business KPIs and success metrics.

Agile and Product Delivery:

• Create and manage user stories, epics, acceptance criteria, and backlogs.
• Participate in sprint planning, backlog grooming, UAT, and release activities.
• Track deliverables, risks, and dependencies usingJira/Confluence.
• Coordinate UAT and ensure delivered solutions meet business requirements.

Requirements:

• 2-5 years of experience in Business Analysis, Data/Analytics BA, Product Analysis, or similar roles.
• Mandatory experience working directly with international clients/stakeholders.
• Excellent stakeholder management and client-facing communication skills.
• Strong experience in requirements gathering and documentation (BRD, FRD, user stories, workflows, acceptance criteria.
• Good understanding of Data and Analytics, databases, and data-driven products.
• Working knowledge of SQL.
• Understanding ofETL/ELT, data pipelines, APIs, and system integrations.
• Experience working with Data Engineering / Analytics / BI / Technology teams.
• Experience withAgile/Scrum, Jira, and Confluence.
• Strong analytical, problem-solving, presentation, and structured-thinking skills.
• Bachelor's degree in Engineering, Computer Science, Analytics, Business, or related disciplines.
• MBA is preferred but not mandatory.

Preferred Qualifications:

• Exposure to GenAI / AI/ML projects or products.
• Familiarity with conversational AI, copilots, intelligent automation, or AI-powered analytics.
• Exposure to AWS / Azure / GCP.
• Experience in BFSI / Banking / FinTech.
• Power BI / Tableau exposure.

Ideal Candidate:

• A year of Business Analyst with strong Data and Analytics exposure who has independently handled international clients/stakeholders.
• The candidate should be an excellent communicator, comfortable leading requirement discussions and coordinating across business and technical teams.
• Strong stakeholder management is critical; GenAI exposure is an added advantage rather than a prerequisite.