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Strategic Data Solutions Specialist

1 month ago


Bengaluru, Karnataka, India NTT DATA Services Full time

NTT DATA Services is a leading provider of digital business solutions. Our company is seeking an experienced Strategic Data Solutions Specialist to join our team.

Job Description:

We are looking for a highly skilled professional to work on various projects, ensuring the successful planning, execution, and delivery of our products and services. The ideal candidate will have a strong background in analytics and solutions, with expertise in ETL domains and data integration.

Main Responsibilities:

  • Understand business analysis activity as it relates to specific projects and overall accounts.
  • Engage with business users, understand problem statements, and agree on the scope of engagement.
  • Elicit requirements from stakeholders and document them effectively.
  • Responsible for Business Requirement Documentation completion, including meeting facilitation and securing approvals.
  • Communicate requirements effectively with all touchpoints in the software development lifecycle.
  • Work with multiple product owners to write and develop clear, non-implementation-specific epics, user stories, and acceptance criteria.
  • Collaborate with internal project groups and business SMEs to ensure appropriate functional and non-functional use case requirements.
  • Manage requirements traceability.
  • Specify and model functional and system requirements.
  • Support functional testing to verify and validate requirements.
  • Aware of modern software development, integration, and delivery practices using Agile methodologies.
  • Participate actively in design sessions in specific areas of expertise.
  • Define solutions to address basic client business requirements.
  • Demonstrate hands-on system acumen in an end-user capacity.
  • Quickly learn systems, processes, and procedures, grasp technical concepts, and adapt easily to change.
  • Experience in ETL domains and data integration.
  • Experience in ITSM tools, data analysis, BI Analytics, and Data Warehouse concepts.