Data Analyst

Introduction

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows.

Youll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, youll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

• Develop, test and support future-ready data solutions for customers across industry verticals.
• Develop, test, and support end-to-end batch and near real-time data flows/pipelines.
• Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies.
• Communicates risks and ensures understanding of these risks.
  
  

• Graduate with a minimum of 6+ years of related experience required.
• Experience in modelling and business system designs.
• Good hands-on experience on DataStage, Cloud-based ETL Services.
• Have great expertise in writing TSQL code.
• Well-versed with data warehouse schemas and OLAP techniques.
  
  

• Ability to manage and make decisions about competing priorities and resources.
• Ability to delegate where appropriate.
• Must be a strong team player/leader.
• Ability to lead Data transformation projects with multiple junior data engineers.
• Strong oral written and interpersonal skills for interacting throughout all levels of the organization.
• Ability to communicate complex business problems and technical solutions.