Business Data Analyst Intern

Chase Cost Management (CCM)  is seeking a Business Data Analyst intern for the Summer of 2024. The objective of this role is to learn how to provide data analysis and reporting support. The individual will learn the functionality and processes of a consulting group, as well as, learning how to deliver on client expectations. The intern will work with available data and translate into English useful metrics and summaries that will support our recommendations to clients. They will learn how to make the best business decisions in client related exercises. The individual will learn how to create strong analytical reporting using Excel, Qlik (BI tool), AI/ML,  and other data management tools.

The candidate will work directly with the CCM Project Director to understand the division’s business environment and needs. They will identify and document relevant project documents, and related data to project, process, and specification details.

Learning Opportunities and Responsibilities:

• Collaborate with operations and product teams to understand and identify analytical requirements. 
• Acquire data from primary or secondary data sources and maintain databases.
• Extract data and perform data cleaning using Python/R for analysis and modeling.
• Create dashboards and automate reporting using Qlik Sense to provide insights into the data. 
• Collaborate with the product team to build AI solutions.
• Translate data into an understandable document.
• Understand business context, problems and communicate them clearly in written and oral format.
• Perform detailed analysis of database usage, survey data and draw conclusions.
• Perform data entry and corrections of data in CCM systems.
• Support the development and monitoring of the CCM program and dashboards to clients.
• Work with the team to support the development of operational measures, targets, and thresholds that would be useful to report to clients, derived from CCM data.

Preferred Qualifications and Skills:

• Education: Bachelor’s or Master’s Degree in Math, Data Analytics, Business, Economics, Finance or Accounting
• Average GPA of 3.0+
• Data Management and analytics skills
• Hands-on experience with Python is preferred
• Proficient Microsoft Excel skills including data analysis, pivot table, and chart creation and ability to generate simple to mid-level Microsoft SQL queries
• Knowledge of Qlik,Tableau, Power BI or a similar BI tool is desirable
• Knowledge of GSuite, including Google Sheets
• Good interpersonal communicator and teamwork skills

Duration:  90 days or more