JOB DESCRIPTION

Who We Are:

As a global leader, CARE is shaping the future of the humanitarian and development sector. Each year, we deliver support and services to millions of people globally. We do this by focusing on our mission and vision, and the values of equality and excellence that guide our organization. We seek dedicated individuals who align with our mission and are passionate about making it a reality by collaborating with others, embracing learning and innovation, and delivering results.

What We Are Looking For:
At CARE, we value diversely talented people who can bring different experiences and perspectives to our organization. We know that not all applicants will have every skill and qualification. We encourage everyone who meets the minimum required qualifications to apply. Having one or more of the preferred qualifications will strengthen an application. But, even if you are earlier in your career or followed a non-traditional educational or professional path, we hope you will consider a career at CARE.

Job Title: DATA QUALITY SPECIALIST

Job Location(s): Philippines – Manila

JOB SUMMARY

The Data Quality Specialist will support CARE’s global Oracle implementation by ensuring the accuracy, consistency, and readiness of data across Core HR, Supply Chain Management (SCM), and Enterprise Resource Planning (ERP) systems. This role will focus on identifying and resolving data inconsistencies, such as formatting issues, across data extracts from legacy system. The Specialist will collaborate with functional experts and project team members, including business analysts and change managers, to extract, clean, and prepare data for migration. They will also contribute to process improvement efforts and lessons learned to support future implementation phases.

This position is currently funded through 30 June 2026 but is planned to continue through August 2027, subject to availability of funding.

RESPONSIBILITIES

Data Cleansing and Standardization

Identify inconsistencies in legacy data (e.g., phone numbers and addresses) and apply appropriate methods to clean and standardize it for Oracle compatibility. Use Excel formulas, scripts, or manual review as needed. This ensures high-quality data is migrated into Oracle systems, reducing errors and rework. Work with offices to help extract data from legacy systems.

Data Validation and Migration Support

Collaborate with technical teams to validate data against Oracle requirements. Assist in test uploads and troubleshoot data-related issues during migration cycles. This helps ensure a smooth transition and system integrity.

Process Documentation and Feedback

Document data issues, fixes, and lessons learned. Provide feedback to improve upstream data entry processes and support better data governance. This contributes to long-term data quality and sustainability.

Cross-Functional Collaboration

Work closely with HR, Finance, and Supply Chain teams, as well as project managers and change managers, to align on data needs and priorities. This ensures that data work is integrated into the broader implementation effort.
Required Qualifications:
– Bachelor’s degree in data management, information systems, business, or a related field.
– 3 years of experience in data cleaning or data migration, though a relevant academic background (e.g., coursework or degree in data science, information systems, or a related field) may substitute for some of this experience.
– Strong proficiency in Microsoft Excel (including formulas, lookups, and data cleaning tools).
– Demonstrated ability to identify and resolve data inconsistencies across systems.
– Excellent attention to detail and problem-solving skills.
– Ability to work independently and manage multiple data tasks simultaneously.
Preferred Qualifications:
– Experience with Oracle Cloud (Core HR, SCM, and/or ERP modules).
– Familiarity with HRIS or ERP systems and their data structures.
– Experience documenting data processes and contributing to process improvement.
– Familiarity with data migration projects in large, global organizations.
– Knowledge of data governance or data quality frameworks.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements