Student Intern

SLB • Houston, TX

19h

About The Position

This internship focuses on data analysis and reporting. The intern will be responsible for collecting, organizing, cleaning, and validating data from various sources, including structured JSON data from APIs. They will develop recurring reports and dashboards using tools like Excel, Power BI, and SQL. The role involves performing exploratory data analysis to identify trends and opportunities, supporting the definition and tracking of KPIs, and documenting data processes. The intern will also assist with process improvement by automating manual reporting tasks using scripting languages or tools like Power Automate, and support light data engineering tasks such as API data pulls and JSON parsing.

Requirements

• Currently enrolled in a bachelor's degree program in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Information Systems, or a related field.
• Strong analytical mindset with attention to detail and the ability to work with structured data, including JSON.
• Working knowledge of Excel and familiarity with at least one analytics or visualization tool such as Power BI.
• Basic exposure to SQL or Python is a plus but not required (Python is especially useful given JSON/API data handling).
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Curiosity, problem-solving skills, and willingness to learn new tools, processes, and business concepts.

Nice To Haves

• Python is especially useful given JSON/API data handling.

Responsibilities

• Collect, organize, clean, and validate data from multiple sources to ensure accuracy and completeness, including working with structured JSON data (e.g., API-based learning/event data).
• Develop recurring reports, dashboards, and visual summaries using tools such as Excel, Power BI, and SQL.
• Perform exploratory data analysis to identify trends, patterns, anomalies, and improvement opportunities across platform usage and completion data.
• Support the definition and tracking of key performance indicators aligned with business priorities.
• Document data sources, assumptions, methodology, findings, and limitations in a clear and reproducible way.
• Partner with business stakeholders to understand reporting needs and communicate insights in a simple, practical manner.
• Assist with process improvement initiatives by automating manual reporting tasks (Python scripting, Power Automate, or similar) where possible.
• Support light data engineering tasks such as API data pulls, JSON parsing/transformation, data validation scripts, and pipeline documentation for internal tools.

What This Job Offers

• Career Level: Intern