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Business Analyst - Data & AI
Valtech
LocationBengaluru, India
Last observed2026-06-13 05:25:28.785545
Job idstartx-valtech:greenhouse:4879077101
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care a nd dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role 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. You will thrive in this role if you are: A curious problem solver who challenges the status quo A collaborator who values teamwork and knowledge-sharing Excited by the intersection of technology, creativity and data Experienced in Agile methodologies and consulting (a plus) Role responsibilities Business Analysis & Requirements 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. Stakeholder & Delivery Management 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. Data & Analytics Enablement 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. Must have qualifications To be considered for this role, you must meet the following essential qualifications: 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 qualifications Certifications (any of the following are a plus)Certifications: CBAP (Certified Business Analysis Professional) — IIBA PMI-PBA (Professional in Business Analysis) — PMI SAFe Practiti
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