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Business Analyst - Data & AI

India, Bengaluru · Job Posted June 08, 2026
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Job Description

As a BUSINESS ANALYST, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ of experience, a growth mindset and a drive to make a lasting impact.

Job Responsibility

  • Lead end-to-end business analysis for large enterprise data transformation and migration programmes
  • Elicit, document, and validate business, functional, and non-functional requirements across data domains including data warehousing, reporting, MDM, and analytics platforms
  • Translate complex business problems into well-structured user stories, use cases, process flows, and data mapping documents
  • Conduct gap analysis between current-state and future-state data landscapes and develop actionable roadmaps
  • Partner closely with data engineers, architects, product owners, and senior business stakeholders to align on priorities and outcomes
  • Facilitate requirements workshops, sprint ceremonies, and stakeholder reviews as part of SAFe Agile delivery
  • Own and maintain the product backlog, ensuring stories are refined, estimated, and prioritised for sprint planning
  • Track and communicate progress, risks, and dependencies to programme leadership
  • Define data quality rules, acceptance criteria, and data validation frameworks for transformed datasets
  • Work with data stewards and governance teams to ensure compliance with data policies and regulatory requirements
  • Support the development of dashboards, reports, and analytical models by providing clear business context and KPI definitions
  • Identify opportunities to leverage analytics and AI/ML capabilities to drive business outcomes

Requirements

  • 7+ years of hands-on Business Analysis experience, with at least 4 years focused on data and analytics projects
  • Proven track record of delivering on large-scale enterprise data transformation programmes (migrations, platform modernisation, data lake/warehouse implementations)
  • Deep understanding of and practical experience working within SAFe (Scaled Agile Framework) delivery models
  • Strong ability to write structured, unambiguous requirements documentation including user stories, acceptance criteria, BRDs, and data mapping specifications
  • Proficiency in SQL for data exploration, validation, and requirements verification
  • Experience working closely with data engineering and architecture teams — able to speak the language of both business and tech
  • Excellent communication, facilitation, and stakeholder management skills across business and technical audiences

Nice to have

  • CBAP (Certified Business Analysis Professional) — IIBA
  • PMI-PBA (Professional in Business Analysis) — PMI
  • SAFe Practitioner (SP) or SAFe Agilist (SA) Certification
  • Google Cloud Professional Data Engineer or equivalent
  • Databricks Lakehouse Fundamentals or equivalent
  • Hands-on exposure to cloud data platforms such as Google Cloud Platform (GCP), including BigQuery, Dataflow, or Pub/Sub
  • Experience with Databricks (Delta Lake, notebooks, Unity Catalog) in an analytics or data engineering context
  • Familiarity with data mesh architectures, data product thinking, or data contract frameworks
  • Experience in industries such as Manufacturing, Agrotech, BFSI, Retail, or Healthcare where data governance is critical

What we offer

  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts

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