Data Coordinator

Job Purpose:

The Data Coordinator is responsible for collecting, validating, managing, and maintaining accurate and reliable data across enterprise systems and business functions. This role enables data-driven decision-making by ensuring data integrity, supporting reporting requirements.

Key Responsibilities:

1- Data Collection & Consolidation

• Coordinate data gathering from relevant departments (IT, Finance, HR, Procurement, Supply Chain, Operations, PMO).
• Consolidate data from ERP, CRM, ServiceNow, Excel trackers, and BI dashboards.
• Maintain centralized data repositories ensuring version control, accessibility, and historical traceability.

2- Data Validation & Quality Assurance

• Perform data validation, cleansing, duplication checks, and standardized formatting.
• Track and resolve data discrepancies by working with data owners and functional leads.
• Maintain accuracy checks, data validation templates, and exception logs.

3- Reporting, Documentation & Analysis

• Develop and maintain trackers, dashboards, and reporting templates using Excel, Power BI, ServiceNow, or ERP extracts.
• Support monthly, quarterly, and annual reporting cycles.

4- Cross-Functional Coordination

• Act as a liaison between IT, PMO, Business Units, and Functional Teams to coordinate data requirements.

Education:

• Bachelor’s degree in Information Technology, Computer Science, Business Administration, Data Analytics, or related field.

Experience:

• Proven experience of 2-5 years in data coordination, data management, PMO support, and reporting.
• Exposure to Oracle EBS/Fusion, ServiceNow.

Technical Skills:

• Advanced Microsoft Excel (Pivot Tables, Power Query, VLOOKUP, Macros)
• Knowledge of BI tools (Power BI preferred)
• Experience with ERP (Oracle preferred)

Behavioral Competencies:

• Strong attention to detail and data accuracy
• Excellent communication and stakeholder coordination
• Highly organized and able to manage multiple priorities
• Analytical mindset and process-oriented
• Strong confidentiality and data ethics awareness