\\\\Introduction\\\\ 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. As an Associate Consultant, you will develop and apply analytical, interpersonal, creative thinking, problem-solving, and leadership skills from day one. This generalist role allows you to learn and apply foundational skills in data analytics and data engineering while working closely with some of the best professionals in the industry. \\\\Your role and responsibilities\\\\ 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. In your role, you may be responsible for: \\\ 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 We have positions open in these 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. \\\\Required technical and professional expertise\\\\ \\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 \\\ Skills include a range of package workflow tool experience including on one of the following IBM BAW, Lombardi, iLog, Appian, Pega etc. \\\ Data Engineer skills- pipeline design, infrastructure, vector databases, deployment, and scalability. \\Other: strong analytical mindset, data governance, or data quality exposure \\\ Willingness to travel up to 100%, based on project requirements \\\\Preferred technical and professional experience\\\\ \\Bachelors 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. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The role requires a strong analytical mindset and experience with ETL/ELT projects, data warehouse design, analytics pipelines, and capstone data engineering. Proficiency in SQL, Python, dbt, Snowflake, BigQuery, Airflow, data modeling, and basic CI/CD is necessary. Experience with package workflow tools such as IBM BAW, Lombardi, iLog, Appian, or Pega is also required, along with data engineering skills in pipeline design, infrastructure, vector databases, deployment, and scalability. Exposure to data governance or data quality is beneficial. A minimum of 1 year of practical project experience or relevant training is needed. A Bachelor's degree in a related field like Computer Science, Data Science, Statistics, Math, MIS, or Engineering is preferred.