Data Analyst; TS​/SCI

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success.

You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

You will be responsible for collecting, cleaning, preprocessing, and validating structured and unstructured data from multiple sources to ensure accuracy and reliability. The analyst designs and implements predictive and prescriptive models using statistical techniques and optimization methods to support informed decision‑making. By analyzing trends and identifying meaningful patterns, this role generates actionable insights that drive mission and business outcomes.

Responsibilities include:

developing dashboards, analytical reports, and data visualizations tailored to stakeholder needs. You will apply advanced analytics to complex challenges such as forecasting, risk assessment, and operational optimization, while working collaboratively with cross‑functional technical and business teams. Continuous awareness of emerging analytics tools, technologies, and best practices is maintained to ensure solutions remain current, effective, and scalable.

• Experience collecting and analyzing data to identify trends and insights
• Proficiency in statistical analysis and data modeling
• Strong SQL experience for data manipulation and database management
• Ability to create clear visualizations and analytical reports
• Experience working collaboratively in cross‑functional environments
• Must hold and maintain TS clearance with ability to obtain SCI

• Experience with machine learning and advanced analytical models
• Proficiency with Python and analytics libraries (Pandas, Num Py, Dask)
• Experience with optimization tools such as IBM CPLEX or Gurobi

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.