Intern Conversion: Data Analyst

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities

As a Data Analyst, you will collect, manipulate, and analyze data to determine trends using standard methods to provide reports in visual forms such as graphs, charts, and dashboards. You will work with clients to understand their needs and analytics opportunities to develop the required insights for business users.

Your Primary Responsibilities Will Include

• Collect and Analyze Data: Collect, manipulate, and analyze data to determine trends using standard methods, providing 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 with architectural standards for data management resources and infrastructure.
• Develop Insights: Work with clients to understand their 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.
• Clean and Manage Data: Apply strong skills in data collection and data cleaning, working with large data sets, scripting, and coding in R, C++, and/or Python.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Data Collection and Analysis: Exposure to collecting, manipulating, and analyzing data to determine trends using standard methods, with the ability to provide reports in visual forms such as graphs, charts, and dashboards.
• Data Management: Experience working with large data sets, scripting, and coding in R, C++, and/or Python, with strong skills in data collection and data cleaning.
• Storage Infrastructure Implementation: Exposure to implementing storage infrastructure in support of client or project data requirements, ensuring compliance with architectural standards for data management resources and infrastructure.
• Insight Development: Experience working with clients to understand their needs and analytics opportunities to develop the required insights for business users.
• Technical Communication: Ability to communicate findings to Data Scientists and clients in a way that can influence how the data is organized, stored, and cleaned.
  
  

Preferred Technical And Professional Experience

• Scripting and Coding: Exposure to scripting and coding in R, C++, and/or Python, with the ability to work with large data sets and apply strong skills in data collection and data cleaning.
• Data Visualization: Experience working with data visualization tools to provide reports in visual forms such as graphs, charts, and dashboards.
• Architectural Standards: Exposure to implementing storage infrastructure in compliance with architectural standards for data management resources and infrastructure.