State/Province
Central Visayas (Region VII)
Date
Thursday, June 25, 2026
Job Level
Individual Contributor
Seniority Level
Internship
Description & Requirements
About Xerox Holdings CorporationFor more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at
www.xerox.com.
Job Overview
We are seeking a highly motivated and detail-oriented Data Transformation Solutions Developer Student Intern to support our data and digital transformation initiatives. The intern will assist in designing, developing, and optimizing data workflows, contributing to data integration, reporting, and automation solutions that support business operations.
This role provides hands-on experience in working with real-world datasets, modern data tools, and enterprise platforms.
Key Responsibilities
- Assist in developing and maintaining data transformation pipelines and workflows
- Support data extraction, cleansing, validation, and transformation processes
- Collaborate with team members to design and implement data solutions based on business requirements
- Participate in building dashboards, reports, and data visualizations
- Help automate manual data processes to improve efficiency and accuracy
- Perform data quality checks and troubleshoot data-related issues
- Document processes, workflows, and technical solutions
- Support testing and deployment of data solutions
Qualifications
- Currently pursuing a degree in Computer Science, Information Technology, Data Analytics, Engineering, or related field
- Basic understanding of data structures, databases, and data processing concepts
- Familiarity with SQL and/or programming languages (e.g., Python, Java, or similar)
- Exposure to data tools or platforms (e.g., Excel, Power BI, Tableau, ETL tools) is an advantage
- Strong analytical and problem-solving skills
- Good communication and collaboration skills
- Detail-oriented with a willingness to learn
Learning Opportunities
- Hands-on experience in enterprise data transformation projects
- Exposure to modern data platforms and tools
- Mentorship from experienced data professionals
- Opportunity to contribute to real business solutions
#LI-JA1
#LI-ONSITE