Intern, People Service Delivery & Insights – People Data
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Job Description
About Qualtrics:
Qualtrics creates software that brands use to deliver frontline experiences, build high-performing teams, and design products. The company serves over 18,000 clients globally and is a leader in the Experience Management category.
Job Description:
This is an internship position within the People Service Delivery & Insights team, specifically focusing on People Data. The intern will support the People Data Architect team in building and optimizing the data infrastructure that supports human resources operations and people analytics.
Key Responsibilities:
• Support People Data Collection and Integration: Help manage data collection processes from various sources, including potentially integrating data from external People system APIs. 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. 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 You Will Learn:
• Hands-on experience with the entire data lifecycle.
• Domain expertise in various types of people data.
• Practical techniques in data warehousing, ETL processes, and data architecture.
• Direct mentorship from data architecture and analytics teams.
Requirements:
• Currently pursuing a Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Data Analytics, Information Systems, Statistics, Mathematics, Economics, or related).
• Basic proficiency in SQL and Python.
• 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.
• 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.
