Assistant Manager - Data Engineer

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.

You'll 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, you'll 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

Power BI Development & Visualization:

• Design, develop, and maintain interactive Power BI dashboards and reports to support business users with timely, actionable insights.
• Translate complex data requirements into visually compelling and easy-to-understand dashboards.
• Optimize report performance and implement best practices for data visualization and user experience.
  
  

Data Extraction & Transformation

• Build, optimize, and maintain data queries from the Enterprise Data Warehouse (EDW) and other source systems.
• Develop, test, and deploy data pipelines using MS Azure services, Alteryx, and Informatica to ensure accurate, clean, and normalized datasets.
• Collaborate with Data Engineering teams to ensure efficient data flows, proper data modeling, and adherence to data governance standards.
  
  

Finance Function Process Support

• Provide data preparation, validation, and reporting support for the process.
• Partner with Finance, Costing, and Operations teams to ensure timely and accurate report runs.
• Analyze process gaps and recommend improvements to streamline data handling and reporting.
  
  

Collaboration & Continuous Improvement

• Work closely with business stakeholders to gather and clarify requirements, ensuring deliverables align with business objectives.
• Troubleshoot data issues and recommend solutions for data quality improvements.
• Stay current with advancements in the Microsoft Azure ecosystem, Power BI, and other BI tools to continuously improve solutions.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
• 4–5 years of hands-on experience in data analytics, business intelligence, or a related role.
• Advanced experience building Power BI dashboards, including DAX, Power Query (M), and data modeling.
• Strong proficiency with the Microsoft Azure data stack (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse Analytics).
• Hands-on experience with Alteryx for data blending, preparation, and automation.
• Working knowledge of Informatica for ETL processes.
• Solid SQL skills for writing and optimizing queries for large, complex datasets.
• Strong understanding of data normalization, data governance, and best practices for data management.
• Excellent problem-solving skills with the ability to manage multiple tasks and priorities.
• Strong communication skills and ability to collaborate effectively with business and technical stakeholders.
  
  

Preferred Technical And Professional Experience

• 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.