Data Management Analyst

Company Description

Working at Allegis Global Solutions (AGS) is more than just a job. It’s a career. It’s a community of people who invest in your development and empower you to blaze your own trail. Each of us is here to create real, measurable impact that moves needles. We operate beyond "roles" or "jobs" to realize the opportunity to make meaningful contributions to a bigger idea. Because we believe that when you build a workforce that’s designed to harness human enterprise, you design a workforce that’s built for impact.

At AGS, we help companies all over the world transform their people into a competitive advantage. It’s not about filling seats. It’s about designing workforces to meet missions and unleash the most transformative power in business today: The power of human enterprise.

With services around the globe, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients’ organizations. Meeting clients where they are, we design a plan and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges – from permanent and extended workforce management to services procurement, consulting, direct sourcing and our Universal Workforce Model™.

We also represent over 100 countries and speak dozens of languages. So as you’re building relationships and doing your job, you’ll be exposed to other cultures and advancement opportunities while expanding your knowledge of global markets and strategies.

See what it’s like to work at AGS by searching #LifeAtAGS on any social network.

Job Description

Data Management Analysts are primarily responsible for leading the Data workstream within the AGS Implementation process. In addition, Data management Analysts are responsible for all Vendor Management System (VMS) loads that have financial impacts to AGS (Job Title, Rate and Worker Modifications). The 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 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. Data Management Analysts will also assess potential risk to the organization and the project as part of the workstream. Analysts participate in quality checking/auditing of peer data loads and assisting/mentoring 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 the secure and efficient handling and sharing of data
• Perform analysis to assess quality of data and check for gaps and/or errors in large data sets, work to resolve data issues with internal and external stakeholders
• Execute ETL process in order to scrub final data sets, build upload templates, and upload data into VMS
• Perform quality audit of peer and/or team data sets
• Attend and be an active participant in all assigned project meetings, communicate status of projects on weekly client-facing status calls
• Partner with various workstream owners to execute required project deliverables and remove roadblocks
• Lead workstream-specific calls around data discovery or data validation with client or supplier
• Prepare summaries of data collection status for team updates
• Follow established project schedule and adhere to deadlines, escalate as necessary if deadlines will be missed
• Act as VMS SME to identify areas of risk efficiency when loading worker, project or rate data.
• Pull rate downloads from VMS system for auditing and analysis of system configuration
• Perform rate audits and system configuration checks
• Build Reports in VMS system
• Facilitate data quality/mapping checks for data warehouse and liaison with other teams for updates and corrections
• Provide support on other various Data Management project initiati