Senior Data Management Analyst (Nightshift)
🇵🇠Philippines
Management
Finance
Design
Analyst
Excel
Senior Data Management Analyst (Nightshift)
from 🇵🇠Philippines
Allegis Global Solutions is founded on a culture that is passionate about transforming the way the world acquires talent by delivering client-focused solutions that make a difference for businesses worldwide. From refining how you manage your contingent workforce to strengthening your employer brand to recruit top talent, our integrated talent solutions drive the business results you need.Â
As an industry leader, we draw upon decades of experience to design innovative tools, products and processes. We develop competitive practices that position organizations for growth and we deliver the insight needed to succeed in today’s global marketplace.
Senior Data Management Analysts are primarily responsible for leading the Data workstream within the AGS Implementation process. In addition, Senior Data Management Analysts are responsible for all VMS loads that have financial impacts to AGS (Job Title, Rate, and Worker Modifications). The Senior Data Management Analyst is responsible for gathering and validating incumbent worker/project/rate data from a variety of sources, analyzing, resolving data gaps, quality checking data, transforming data, and uploading it into a VMS.Â
The Senior Data Management Analyst represents the Data Management workstream on internal and external status calls and updates the project team and client on issue resolution, workstream status, or roadblocks. Senior Data Management Analysts also assess potential risks to both the organization and the project as part of the workstream.Â
Analysts participate in quality checking/auditing of peer data loads and assist/mentor Data Management Associates as part of their training. Analysts are expected to work on various projects other than implementations, including audits, Job Title/Rate/Worker modifications, data quality/mapping updates, and other general team projects. Analysts are expected to support projects without assistance and work on multiple projects simultaneously.Â
Key ResponsibilitiesÂ
- Lead workstream to collect, organize, and validate data using a proprietary AGS data collection toolÂ
- Collect and analyze data from various sources, including Client, Supplier, and InternalÂ
- Analyze and interpret large amounts of dataÂ
- Assess and recommend data collection, validation, and data load strategies for each projectÂ
- Follow up on outstanding data from outside suppliersÂ
- Implement procedures related to secure and efficient handling and sharing of dataÂ
- Perform analysis to assess the quality of data and check for gaps and/or errors in large datasets; work to resolve issues with internal and external stakeholdersÂ
- Execute ETL process to scrub final data sets, build upload templates, and upload data into VMSÂ
- Perform quality audits of peer and/or team data setsÂ
- Attend and actively participate in all assigned project meetings; communicate project status on weekly client-facing callsÂ
- Partner with various workstream owners to execute required deliverables and remove roadblocksÂ
- Lead workstream-specific calls around data discovery or data validation with the client or supplierÂ
- Prepare summaries of data collection status for team updatesÂ
- Follow established project schedule and adhere to deadlines; escalate when deadlines will be missedÂ
- Act as VMS SME to identify risk or efficiency improvements when loading worker, project, or rate dataÂ
- Pull rate downloads from VMS system for auditing and configuration analysisÂ
- Perform rate audits and system configuration checksÂ
- Build reports in VMS systemÂ
- Facilitate data quality/mapping checks for data warehouse and liaise with other teams for updates and correctionsÂ
- Provide support on various Data Management project initiativesÂ
- Manage multiple projects simultaneously and organize large datasets from multiple sourcesÂ
- Work in a fast‑paced environment spanning multiple time zonesÂ
- Ensure standards are applied to programs and exceptions are documentedÂ
- Responsible for data quality and implementing processes that drive efficiency and support data governanceÂ
- Build relationships both internally and externallyÂ
- Provide technical support, mentoring, and training to less‑senior analystsÂ
- Recommend enhancements or improvements to processes for the Data Management ManagerÂ
- Meet standards for efficiency, data quality, and timelinessÂ
- Maintain process documentation of activities and servicesÂ
- 2+ years of professional data analysis experienceÂ
- Proven experience managing dataÂ
- Advanced MS Excel knowledge (VLOOKUP, pivot tables, formulas, charts, graphs)Â
- Excellent attention to detailÂ
- Strong business communication skills, verbal and writtenÂ
- Experience with data entry, analyzing information, decision‑making, and organizational skillsÂ
- Strong organizational and communication skills (written and verbal)Â
- Ability to work with diverse teams from AGS, Technology Partners, and Clients, and reach consensusÂ
- Ability to manage multiple tasks with multiple deadlines; flexible in a constantly evolving fieldÂ
- Aptitude for learning new technologies quicklyÂ
As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful.
See what it’s like to work at AGS by searching #LifeAtAGS on any social network.

