People Data Intern

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

 

Intern, People Service Delivery & Insights - People Data

 

Why We Have This Role

The People Data Architect team is dedicated to building and optimizing the data infrastructure that supports human resources operations and people analytics. By ensuring seamless integration, integrity, and accessibility of people data, we enable the organization to leverage data effectively for strategic decision-making. Our goal is to create a scalable and automated data environment that empowers various teams to utilize people data with confidence, leading to enhanced workforce management and employee engagement.

 

How You’ll Find Success

• Basic proficiency in SQL and Python, with knowledge of data integration techniques and tools.
• Understanding of data quality principles and data modeling concepts.
• Familiarity with ETL tools and processes.
• Basic knowledge of HR-related data structures.
• Strong attention to detail and ability to document processes clearly.
• Basic analytical and problem-solving skills.

 

How You’ll Grow

• You will gain hands-on experience with the entire data lifecycle, from data gathering and modeling to optimization and visualization concepts. 
• You will be positioned to develop domain expertise in various types of people data, such as behavioral, operational, and experience data.
• You'll learn practical techniques in data warehousing, ETL processes, and data architecture. 
• You will receive direct mentorship and guidance from our data architecture and analytics teams, gaining valuable insights into industry best practices and career paths in data science and analytics engineering.

 

Things You’ll Do

• Support People Data Collection and Integration: Help manage data collection processes from various sources, including exploring and potentially integrating data from external People system APIs. You may assist in scripting using Python and SQL and automation efforts using an orchestration tool, Prefect, for data ingestion. 
• Assist with People Data Modeling and Documentation: Collaborate on building and refining data models and create clear and concise data diagrams to document data structures and relationships. You may also contribute to technical documentation of data processes.
• Data Collection and Integration: Contribute to the accurate and optimized creation and maintenance of materialized views and data sources in our Redshift data warehouse, under the guidance of the senior architect. 
• Documentation: Produce and maintain clear documentation of data integration processes, workflows, and mapping for transparency and knowledge transfer.
• Problem Resolution: Identify emerging data quality issues and collaboratively work with the senior architect to resolve them. Assist in troubleshooting and resolving basic data integration challenges.

 

What We’re Looking For On Your Resume 

• Currently pursuing a Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science, Data Analytics, Information Systems, Statistics, Mathematics, Economics, or a related technical discipline.
• Demonstrated coursework or personal projects involving SQL, data transformation (e.g. using Python with Pandas), and database concepts (e.g. entity relationship diagrams). Familiarity with APIs or data modeling principles is a plus.
• Evidence of strong analytical and problem-solving abilities, with a demonstrated curiosity