Associate Business Transformation Consultant 2026 - Data Services

Introduction In this role you will join IBM Consulting via our world class Associate Program for university hires. As an Associate at IBM Consulting, you will have the opportunity to work with a diverse range of clients worldwide. Our clients' technical and business needs are constantly evolving. We're hiring inspired, talented individuals, who believe no problem is too big to solve. We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you. A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. 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 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 encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities Projecting business values of a solution in client-relevant terms and drive adoption of the KPI impact with key client stakeholders Developing communications tailored to specific audiences while working in an agile, collaborative environment Using IBM's Design Thinking to help solve client's challenges and analyze data to support conclusions and strategies Locations Atlanta, GA Austin, TX Chicago, IL Dallas, TX Houston, TX Key Responsibilities Data Analysis: Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operational, and business practices. Data Visualization: Create visually compelling and user-friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders. Data Engineering: Work with ETL/ELT ingestion pipelines. Data Quality Assurance: Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures. Client Collaboration: Work with project team to prioritize and translate client requirements and define current and future operational scenarios (processes, models, use cases, plans and solutions). Work collaboratively with client and the architect to ensure proper translation of business requirements to solution requirements. Presentation of Insights: Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients. Cross-Functional Collaboration: Work with cross-functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions. Continuous Learning: Stay informed about the latest trends and advancements in the modern data stack, bringing new ideas and best practices to the team. Consulting Skills: Works with clients to advocate business process transformation, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity. Strong communication skills and ability to articulate thoughts clearly and concisely. Problem-solving mindset with the ability to ask questions, seek to understand, and recommend solutions. Curious and eager to learn new skills, with the ability to adapt to changes easily. Planning capabilities with an understanding of basic project management skills and Agile methodology. Strong teamwork orientation, contributing positively to a collaborative environment. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Ability to understand clients' needs and challenges, and apply creative and logical approach to identify solutions. Ability to communicate complex situations clearly and simply by listening actively and conveying difficult messages in a positive manner. Ability to translate business requirements into technical solutions. Ability to apply logic to solve business problems through a detailed analytical approach. Ability to translate requirements into a business case. Experience: ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering. Skills/Tech: SQL, Python, dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics. Data Engineer skills - pipeline design, infrastructure, vector databases, deployment, and scalability. Other: strong analytical mindset, data governance, or data quality exposure. Willingness to travel 100%, based on project requirements. Preferred Technical And Professional Experience A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view. Strong quantitative analysis skills and the ability to derive recommendations informed by data and insights. Ability to handle multiple tasks concurrently and meet deadlines, while maintaining focus in an environment with conflicting demands. Aptitude for analyzing data and using it to support recommendations, business decisions, and operational improvements. Experience in areas such as Human Resources, Operations/Supply Chain, Manufacturing, or other business functional areas. Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering). Minimum of 1 year of practical project experience or relevant training. Certifications: SnowPro Core, Google Associate Cloud Engineer or Data Engineer coursework. General skills: GenAI literacy – prompt engineering, RAG, fine-tuning, and evaluation of generative models. #J-18808-Ljbffr IBM