Technology Pricing Data Expert; AI

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.

As a Data Analyst, you will be responsible for collecting, manipulating, and analyzing data to determine trends using standard methods. You will provide reports in visual forms such as graphs, charts, and dashboards, and work closely with clients to understand their needs and analytics opportunities.

• Collect and Analyze Data:
  Collect, manipulate, and analyze large data sets to determine trends using standard methods, and provide reports in visual forms such as graphs, charts, and dashboards.
• Implement Storage Infrastructure:
  Implement storage infrastructure in support of client or project data requirements, ensuring compliance to architectural standards for data management resources and infrastructure.
• Drive Solution Delivery:
  Work with the client to understand needs and analytics opportunities to develop the required insights for business users.
• Communicate Findings:
  Communicate findings to Data Scientists and clients in a way that can influence how the data is organized, stored, and cleaned.
• Develop Insights:
  Develop insights for business users, leveraging strong skills in data collection and data cleaning, and experience working with scripting and coding in R, C++, and/or Python.

• Bachelor’s Degree

• Master’s Degree

• Data Analysis and Visualization:
  Experience with collecting, manipulating, and analyzing large data sets to determine trends using standard methods, and providing reports in visual forms such as graphs, charts, and dashboards.
• Data Management Infrastructure:
  Experience implementing storage infrastructure in support of client or project data requirements, ensuring compliance to architectural standards for data management resources and infrastructure.
• Scripting and Coding:
  Experience working with scripting and coding in R, C++, and/or Python to develop insights for business users.
• Data Communication:
  Experience communicating findings to stakeholders in a way that influences how data is organized, stored, and cleaned.
• Insight Development:
  Experience developing insights for business users, leveraging strong skills in data collection and data cleaning.

• Advanced Scripting
  
  Skills:
  
  Experience with scripting and coding in multiple languages, including R, C++, and/or Python, to develop complex data insights and analytics solutions.
• Data Visualization Tools:
  Experience working with data visualization tools to create interactive and dynamic dashboards that effectively communicate findings to stakeholders.
• Data Management Best Practices:
  Experience with data management best practices, including data governance, data quality, and data security, to ensure compliance with architectural standards.

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
• Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long‑term disability coverage, and opportunities for performance‑based salary incentive programs
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
• Training and educational resources on our personalized, AI‑driven learning…