Technology Pricing Data Expert; AI

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.

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.