Data Automation Analyst InternAt — Springer Capital

The intern will be responsible for collecting, cleaning, and analyzing data from various sources such as databases, APIs, and web scraping tools. They will use computational tools like Excel, SQL, and Python to generate insights and implement solutions that improve business processes. The role offers the opportunity to collaborate with different teams across the company to further enhance business automation processes.

Key tasks the student will perform include:
Collecting data from databases, APIs, and web scraping tools.
Cleaning and processing raw data.
Analyzing data and extracting meaningful insights.
Communicating progress and insights with managers.
Implementing solutions to improve business processes.

Training:

We will provide initial training materials on SQL, Azure, Power Auotmate , Power BI before the internship begins to ensure that the student is well-prepared. Regular group calls with the director and supervisors will provide up-to-date feedback and mentorship throughout the internship period.

Learning Outcomes:

By the end of the internship, the student will be able to:
Collect and process raw data to ensure accuracy and consistency.
Conduct data analysis using Excel, SQL, and Python.
Communicate data insights effectively.
Implement solutions based on data analysis to enhance business operations.