Data Management Associate — Data Quality & Analysis

Allegis Group Services, Inc.; Pasig; Hybrid; PHP 279,000 - 502,000; Full time

Job summary

Allegis Global Solutions in Metro Manila invites a Data Management Associate to support the data management workstream for MSP or Procurement projects. You will collect, validate, and transform incumbent worker data from multiple sources, analyze gaps, and prepare data for VMS uploads.

The role requires collaboration across vendors, clients, and internal teams, attends calls, and ensures data quality and timely delivery while adapting to a fast-paced, multi-time-zone environment with mid and

Qualifications

• 0–2 years of professional data analysis experience.
• Advanced MS Excel skills (VLOOKUP, pivot tables, formulas).
• Experience with data entry and data analysis.
• Strong organizational and written/verbal communication.
• Ability to handle multiple tasks concurrently.
• Willingness to learn new technologies quickly.
• Hybrid work setup; mid/night shift; Ortigas Pasig office.

Responsibilities

• Collaborate in a team to collect, organize and validate data using a proprietary AGS data collection tool.
• Follow up on outstanding data from external vendors.
• Analyze data for gaps and resolve data issues.
• Prepare data load templates for Vendor Management Systems (VMS).
• Attend project meetings and report status on client calls.
• Provide data governance and quality audits across projects.

Skills

MS Excel

Data analysis

Data entry

Communication

Organizational skills

Time management

Tools

VLOOKUP

Pivot tables

Formulas

Job description

Allegis Global Solutions in Metro Manila invites a Data Management Associate to support the data management workstream for MSP or Procurement projects. You will collect, validate, and transform incumbent worker data from multiple sources, analyze gaps, and prepare data for VMS uploads.

The role requires collaboration across vendors, clients, and internal teams, attends calls, and ensures data quality and timely delivery while adapting to a fast-paced, multi-time-zone environment with mid and