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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