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Job Description
Strategy & Analytics Consultant - IBM Infrastructure
As a Strategy & Analytics Consultant in IBM’s Infrastructure business unit, you will develop and implement strategic recommendations that will drive change in a digitally-enabled era. You'll have the opportunity to collaborate with highly talented IBMers, develop insights, work with cross-functional teams, and create Proof-of-Concept solutions leveraging modern techniques for Data Analytics and AI.
Your Role And Responsibilities
You will develop solutions for complex business issues facing the IBM Infrastructure Business Unit, which comprises leading-edge offerings such as Cloud, Z (Mainframe), Power, Storage, and Technical support services. This business is foundational to IBM’s push to be a leader in AI and Hybrid Cloud. You will apply appropriate methodologies to develop strategies and analytics to enhance the performance of IBM Infrastructure business. You will expose insights to business leaders in innovative ways that leverage Agentic AI and Data Science.
Tasks And Responsibilities Include
- Support IBM Infrastructure leaders in leveraging strategic insights.
- Conduct analyses with IBM strategy team stakeholders to identify root causes, test hypotheses, and define targeted business outcomes.
- Collect and synthesize qualitative and quantitative insights through research, interviews, analyst reports, and internal databases.
- Prepare clear, compelling client presentations that communicate findings, recommendations, and strategic options effectively with supporting data and analyses.
- Create Data Science and Agentic AI based tools and proof-of-concept solutions that expose insights in new ways to business leaders.
- Query, transform, and manage datasets using SQL or similar querying tools.
- Design & develop intuitive dashboards and visualizations using tools like Cognos Analytics.
- Partner with product, IT, finance, and strategy teams to align analytics solutions with organizational goals.
What We Look For
- Interest in infrastructure technology including servers, storage, and cloud.
- Intellectual curiosity; readiness to question existing assumptions, explore business models and processes, and devise innovative solutions.
- Diverse experiences, backgrounds, and perspectives eager to cultivate positive working relationships within a tight-knit team and build trusted relationships across all levels of IBM.
- Strong problem-solving capabilities, including the ability to take ambiguous complexities and deliver creative and well-structured solutions.
- Deep analytical skills and ability to formulate data-driven recommendations.
- Strong communication skills, successfully utilizing verbal and written communication.
- Driven, self-starter with a passion for excellence.
- Proactive, self-motivated attitude with a commitment to delivering high-quality work.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Experience extracting large data sets, applying data science tools, and using AI to create new insights displayed in interactive dashboards.
- Experience with data modeling, ETL concepts, and cloud data platforms.
- Able to travel approximately 10% annually.
- Fluent in English.
Preferred Technical And Professional Experience
- Master's degree in STEM or Business (MBA).
- Experience in the technology or strategy consulting industry, digital transformation.
- Fluency in creating quantitative models in Excel and presentations in PowerPoint.
- Experience in developing data-based demos/pilots/proof-of-concept solutions.
- Experience with AI/ML model deployment, MLOps, or cloud-based ML services.
- Experience with SQL and relational database querying and dashboarding tools.
Key skills/competency
- Strategy Consulting
- Data Analytics
- Artificial Intelligence (AI)
- Data Science
- Business Intelligence
- SQL
- Data Modeling
- ETL
- Cloud Platforms
- Dashboarding
How to Get Hired at IBM
- Tailor your resume: Highlight experience with data science, AI, and infrastructure technology. Emphasize problem-solving and analytical skills relevant to IBM's needs.
- Showcase your curiosity: Demonstrate intellectual curiosity and a proactive approach to innovation in your application and during interviews.
- Quantify achievements: Use data and metrics to showcase the impact of your previous work in strategy and analytics roles.
- Prepare for technical questions: Brush up on SQL, data modeling, ETL concepts, and AI/ML applications relevant to business strategy.
- Research IBM's business: Understand IBM's Infrastructure unit, AI, and Hybrid Cloud strategies to align your answers with their goals.
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