Overview
Data Operations Administrator Jobs in Muntinlupa City, National Capital Region, Philippines at Krayden, Inc.
Title: Data Operations Administrator
Company: Krayden, Inc.
Location: Muntinlupa City, National Capital Region, Philippines
Position Overview
The Data Administrator is responsible for the daily operation, support, and continuous improvement of Krayden’s enterprise data platform and business data processes. This role serves as the primary operational resource for data validation, issue coordination, data quality, documentation, and production support, ensuring reliable and consistent delivery of enterprise data services.
The position partners with Data Engineering, Business Intelligence, ERP, business stakeholders, and third-party vendors to support data operations, acquisitions, enterprise reporting, and platform initiatives while enabling technical resources to focus on engineering and solution delivery.
Overall Responsibilities
- Support the daily operation and administration of Krayden’s enterprise data platform and operational data processes.
- Monitor data operations, coordinate issue resolution, and ensure timely execution of recurring support activities.
- Support enterprise data quality, validation, reconciliation, documentation, and operational governance.
- Coordinate support activities between business users, Data Engineering, Business Intelligence, ERP teams, and third-party vendors.
- Assist with acquisitions, enterprise projects, testing, and operational readiness activities.
- Contribute to process standardization, documentation, automation, and continuous improvement initiatives.
Core Responsibilities
- Prepare, validate, and support enterprise data loads, master data updates, and recurring operational processes.
- Monitor scheduled data processing, identify operational issues, and coordinate resolution with the appropriate technical teams.
- Perform data validation, reconciliation, exception tracking, and operational quality assurance.
- Coordinate support requests, issue tracking, vendor follow-up, and cross-functional communication through resolution.
- Support user acceptance testing (UAT), acquisition onboarding, reporting validation, and enterprise data initiatives.
- Create and maintain operational procedures, technical documentation, support checklists, and knowledge articles.
- Escalate business-critical issues while providing consistent operational support for enterprise data services.
Desired Qualifications
- Bachelor’s degree in Information Systems, Business, Data Analytics, Computer Science, or equivalent professional experience.
- 2–4 years of experience supporting enterprise data operations, business applications, reporting, or operational support environments.
- Strong understanding of data validation, reconciliation, business processes, and operational support.
- Experience supporting enterprise reporting, ERP systems, or data platforms.
- Strong organizational, analytical, and problem-solving skills with exceptional attention to detail.
- Excellent written and verbal communication skills with the ability to coordinate across business and technical teams.
- Ability to manage multiple priorities in a fast-paced operational environment.
Desired Technologies
Experience with one or more of the following technologies is preferred:
- Artificial Intelligence tools and processes
- Microsoft Fabric (Lakehouse/Warehouse), ADF, Synapse
- Microsoft Power BI/Power Apps/Power Automate
- Microsoft Excel
- Azure SQL Database/Python
- NetSuite or other ERP/CRM platforms
- Azure DevOps/GitHub
- Enterprise data warehouse environments
Professional Competencies
- Customer-focused service delivery
- Operational ownership and accountability
- Analytical thinking and attention to detail
- Process improvement mindset
- Collaboration across business and technical teams
- Effective written and verbal communication
- Documentation and knowledge management
- Adaptability and continuous learning
Business Outcomes
Success in this role will contribute to:
- Reliable and consistent operation of enterprise data services and recurring business processes.
- Improved data quality through proactive validation, reconciliation, and operational controls.
- Faster resolution of data issues through effective coordination, tracking, and communication.
- Standardized operational procedures that improve efficiency, repeatability, and knowledge sharing.
- Reduced interruptions to Data Engineering and Business Intelligence resources, enabling greater focus on strategic initiatives.
- Improved support for acquisitions, enterprise projects, and ongoing business operations through well-managed data processes.
How to apply
If you are interested in this opportunity, please email [email protected] with the following:
- A link to your LinkedIn profile and a CV/Resume.
- A one-page personal cover letter (optional)
