About Xerox Holdings Corporation
For 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.
Overview:
The Data Analyst II supports data governance and master data management activities by ensuring the quality, accuracy, consistency, and integrity of critical business data across multiple systems and applications. This role is responsible for maintaining and analyzing master data, developing data solutions, and providing insights that support business decision-making. The position works closely with business users, technology teams, and stakeholders to improve data processes, resolve data-related issues, and drive continuous improvement initiatives.
Why Join This Team:
- Be part of a data-driven organization that values accuracy, innovation, and continuous improvement.
- Work with cross-functional teams to support critical business processes and decision-making.
- Gain exposure to data governance, master data management, and analytics initiatives.
- Develop technical, analytical, and problem-solving skills through challenging projects.
- Contribute to the development of scalable data solutions that support business growth.
What You Will Do:
- Create, maintain, and analyze master data across various business applications and systems.
- Monitor and ensure the quality, accuracy, credibility, and integrity of master data.
- Design and implement solutions to consolidate, cleanse, and analyze data from multiple sources.
- Develop automated processes that improve data maintenance, validation, and reporting efficiency.
- Identify trends, patterns, and meaningful insights from large and diverse datasets.
- Interpret and communicate analytical findings and recommendations to business stakeholders and management.
- Serve as a primary point of contact for master data issues and data governance concerns.
- Collaborate with business users, application vendors, and technology teams to resolve data-related challenges.
- Gather and analyze business requirements and recommend data management improvements.
- Support the development and implementation of policies, procedures, and controls that ensure data quality, security, and compliance.
- Participate in process improvement initiatives that enhance data governance and operational effectiveness.
What You Need to Succeed:
- Bachelor's degree in Industrial Engineering, Management Accounting, Information Technology, Data Analytics, or a related field.
- 3 to 5 years of experience in data analysis, master data management, data governance, or a related analytical role.
- Strong analytical and problem-solving skills with the ability to interpret complex data.
- Experience working with large datasets and data management processes.
- Knowledge of data governance principles, data quality management, and master data concepts.
- Proficiency in Microsoft Excel and other data analysis or reporting tools.
- Strong communication and presentation skills with the ability to translate data into actionable insights.
- Ability to work collaboratively with cross-functional teams and stakeholders.
- Strong attention to detail and commitment to data accuracy.
- Customer-focused mindset with a proactive approach to continuous improvement.
How We Set You Up for Success:
- Structured onboarding and training on business systems, data governance practices, and master data processes.
- Opportunities to develop expertise in analytics, reporting, and data management technologies.
- Exposure to enterprise-wide data initiatives and cross-functional projects.
- Supportive team environment focused on collaboration, learning, and innovation.
- Ongoing professional development opportunities to strengthen technical and business skills.
