Technology Pricing Data Expert (AI)

• 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.

• Your role and responsibilities
• 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.

Your primary responsibilities will include:

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:

Drive the solution and work with the client to understand the needs and analytics opportunities to develop the required insights to 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 to business users, leveraging strong skills in data collection and data cleaning, and experience working with scripting and coding in R, C++, and/or Python.

• Required technical and professional expertise

• 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.

• Preferred technical and professional experience

• 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.

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.