Associate Business Transformation Consultant – Data Services 2027

Come forge the future like an IBMer Ready to think boldly, work with some of the world's most recognized brands, and kick-start your career? Welcome to the IBM's Associate Program for university hires. From day one, you'll collaborate with global clients and contribute to projects that help organizations solve their toughest challenges across digital transformation, cloud strategy, AI adoption, and process redesign - working alongside a global cohort of diverse, ambitious peers. As an Associate, you'll have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM's AI-driven learning platform - supported by coaches, mentors, and thriving professional communities across practices. IBM's culture of internal mobility means you'll have the freedom to explore new technologies, industries, and career paths as your interests evolve. Bring your curiosity. Grow your skills. Build what's next - like an IBMer. To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it's the best way to get a centralized view of which roles you have active applications against. As an Associate Business Transformation Consultant (BTC) at IBM, you'll work right at the intersection of technology, people, and process, helping our clients transform how they adapt to shifts in the market and more closely align their business strategy and vision. You'll help clients understand leading technologies and the impact they can have on traditional business processes, as well as an opportunity to build a powerful portfolio of interesting and rewarding experiences. Leveraging a growth mindset, you're ready and willing to deliver business value, wherever needed.  These positions are anticipated to start in 2027. 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 Quality Assurance: Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures. Client Collaboration: Work with the project team to prioritize and translate Client requirements and define current and future operational scenarios (processes, models, use cases, plans, and solutions). Presentation of Insights: Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients. Consulting Skills:  - Advocates business process transformation by analyzing application portfolios across the ecosystem to identify process optimization and automation opportunities, leveraging planning, project management, and Agile methodologies to drive effective solutions. - Demonstrates strong communication, problem-solving, adaptability, and teamwork skills, with a collaborative mindset, curiosity to learn, and the ability to clearly articulate ideas, ask insightful questions, and recommend solutions. Ability to understand clients' needs and challenges and apply a 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.   Experience: ETL/ELT projects, data warehouse design, analytics pipelines, and 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.  Willingness to travel 100%, based on project requirements. Preferred bachelor’s degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Computer Engineering, Data Science, or related fields).  Ability to handle multiple tasks concurrently and meet deadlines, while maintaining focus in an environment with conflicting demands  Practical project experience or relevant training.  Preferred Certifications: SnowProCore, Databricks Associate, Google Associate Cloud Engineer or Data Engineer coursework General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of generative models. United States Consulting Entry Level Multiple Cities (0147) International Business Machines Corporation