Data Management Analyst

Hybrid
Mid-level
🇺🇸 United States
Data science & Analytics

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 initiatives
  • Data management analysts may be assigned to multiple projects simultaneously, and must have the ability to multi-task and organize large data sets from multiple sources
  • Ability to 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 which drive efficiency and support data governance
  • Build relationships both internally and externally to the company
  • Provides technical support and mentoring and training to less-senior analysts
  • Makes recommendations to Data Management Manager for enhancements/improvements to processes
  • Meets standards for efficiency, quality of data and timeliness in meeting deadlines
  • Maintains Process documentation of activities and services

Requirements

  • 2+ years of professional experience doing data analysis
  • Proven Experience managing data
  • Advanced knowledge of MS Excel (proficiency with VLOOKUP, pivot tables, formulas, charts and graphs).
  • Excellent Attention to detail
  • Excellent business communication skills, both verbal and written to internal and external customers
  • Experience with data entry, analyzing information, decision making, organizational skills
  • Must have strong organizational and communication skills (both written and verbal)
  • Ability to work with a diverse team of resources from AGS, our Technology Partners, our Clients, and reach consensus resolution on issues.
  • Ability to simultaneously manage multiple tasks with multiple deadlines. Ability to adapt quickly and possess flexibility with working in a constantly evolving field.
  • Aptitude for learning new technologies and learning on the fly

Education:

· Bachelor’s degree: Analytics, Finance, Business, or related major or equivalent business experience.

 

Allegis Global Solutions

Allegis Global Solutions

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

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Data science & Analytics

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