Senior Data Management Analyst (Nightshift)

Company Description

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. 

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.

Job Description

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. 

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. 

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. 

Key Responsibilities 

• Lead workstream to collect, organize, and validate data using a proprietary AGS data collection tool 
• Collect and analyze data from various sources, including Client, Supplier, and Internal 
• Analyze and interpret large amounts of data 
• Assess and recommend data collection, validation, and data load strategies for each project 
• Follow up on outstanding data from outside suppliers 
• Implement procedures related to secure and efficient handling and sharing of data 
• 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 stakeholders 
• Execute ETL process to scrub final data sets, build upload templates, and upload data into VMS 
• Perform quality audits of peer and/or team data sets 
• Attend and actively participate in all assigned project meetings; communicate project status on weekly client-facing calls 
• Partner with various workstream owners to execute required deliverables and remove roadblocks 
• Lead workstream-specific calls around data discovery or data validation with the client or supplier 
• Prepare summaries of data collection status for team updates 
• Follow established project schedule and adhere to deadlines; escalate when deadlines will be missed 
• Act as VMS SME to identify risk or efficiency improvements when loading worker, project, or rate data 
• Pull rate downloads from VMS system for auditing and configuration analysis 
• Perform rate audits and system configuration checks 
• Build reports in VMS system 
• Facilitate data quality/mapping checks for data warehouse and liaise with other teams for updates and corrections 
• Provide support on various Data Management project initiatives 
• Manage multiple projects simultaneously and organize large datasets from multiple sources 
• Work in a fast‑paced environment spanning multiple time zones 
• Ensure standards are applied to programs and exceptions are documented 
• Responsible for data quality and implementing processes that drive efficiency and support data governance 
• Build relationships both internally and externally 
• Provide technical support, mentoring, and training to less‑senior analysts 
• Recommend enhancements or improvements to processes for the Data Management Manager 
• Meet standards for efficiency, data quality, and timeliness 
• Maintain process documentation of activities and services 

Qualifications

• 2+ years of professional data analysis experience 
• Proven experience managing data 
• Advanced MS Excel knowledge (VLOOKUP, pivot tables, formulas, charts, graphs) 
• Excellent attention to detail 
• Strong business communication skills, verbal and written 
• Experience with data entry, analyzing information, decision‑making, and organizational skills 
• Strong organizational and communication skills (written and verbal) 
• Ability to work with diverse teams from AGS, Technology Partners, and Clients, and reach consensus 
• Ability to manage multiple tasks with multiple deadlines; flexible in a constantly evolving field 
• Aptitude for learning new technologies quickly 

Additional Information

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.