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Data Management Analyst, Metadata with Security Clearance

Remote role Full-time Open position

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™ ASRC Federal Agile Decision Sciences is currently seeking a Digital Data Management Analyst (Metadata tagging) to join our team in Philadelphia, PA. If you have EPA and SEMS database experience, we would like to talk with you today. If not, but you enjoy working in a fast-paced environment that utilizes critical thinking skills to support EPA's mission, let's connect. This role supports clients within an environmental science division and will provide data management services. This is a part-time position, 3 days a week, on-site with our EPA customer in Philadelphia.

  • Bachelor's degree in information management/computer science, with seven (7) years of related experience in records management, data management, and metadata tagging OR a Master's degree in information management/computer science, with four (4) years of related experience as mentioned above.
  • Experience with databases (database management) such as Documentum, Versatile, Advanced Revelation, Versatile, HP Trim or Micro Focus Content Manager, Zylmage (databases related to digital data management/records management) is required.
  • Experience with Excel and Adobe Acrobat.
  • Experience with SQL queries and report development.
  • Experience with Internet/Intranet and website management (HTML Editor) is a plus.
  • Superfund Enterprise Management System (SEMS), EPA, and the Superfund Process (preferred)
  • Permanent Residency or US Citizenship is required for the government background investigation (Public Trust clearance). Responsibilities :
  • Provide data management including analysis, data reporting, quality control, and technical assistance.
  • Support data systems management activities including directly working with multiple clients and responding to requests for information and end-user application support and working with regional staff to update and plan out site schedules.
  • Utilize the Environmental Protection Agency's (EPA) and federal programmatic applications and databases such as Superfund Enterprise Management System (SEMS).
  • Field inquiries from a variety of clients; research and provide resolution or follow-up within specified timeframes.
  • Provide direct troubleshooting and training support to clients in the use of EPA-specific databases in an efficient, time effective manner to accommodate client needs and requests.
  • Analyze the development and publishing of training materials for EPA applications and databases, including frequently asked questions, quick reference guides, and training guides.
  • Ensuring regional planning and accomplishments are complete, current, and consistent, and accurately reflected in databases.
  • Recommending and providing trainings to regional staff on process improvements, data analysis, and data management.
  • Assisting with tracking and reporting key performance metrics for the division on a monthly, quarterly, and annual basis.
  • Creating knowledge management documents to capture processes and workflows.
  • Preparing information to support periodic program management and planning review meetings.
  • Performing audits of regional data and makes recommendations to clients to correct findings.
  • Providing ad-hoc reports upon request. We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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