DATA QUALITY SPECIALIST

CARE; Manila; On-site; PHP 400,000 - 600,000; Full time

Job summary

A global humanitarian organization is seeking a Data Quality Specialist to support the accuracy and readiness of data for their Oracle implementation. This role will focus on data cleansing and standardization, collaborating with teams to validate data, and documenting processes to ensure high data quality. The position is funded until June 2026, with a potential extension through August 2027, subject to funding availability.

Qualifications

• Experience in data cleansing and standardization processes.
• Knowledge of data validation techniques.
• Familiarity with Oracle systems and data migration.

Responsibilities

• Identify and resolve data inconsistencies.
• Collaborate with teams to validate data for Oracle.
• Document data issues and provide feedback.

Job description

Overview

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.