Data Support Analyst: CRM & Data Quality

University of Maryland

College Park (MD)

Vor Ort

USD 40.000 - 57.000

Teilzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

The University of Maryland is seeking a Data Support Analyst to assist the Business Intelligence team in maintaining accurate biographical records in the alumni and donor database. The role involves data validation, entry, research, and fulfilling user requests using Jira Service Management.

Preferred experience includes working with CRM systems (Advance, Salesforce) and data hygiene in a higher education development context.

Qualifikationen

  • Working knowledge of reference and research methods and techniques used in collecting, compiling, and organizing data and information.
  • Skill in the use of office automation software and its applications.
  • Ability to establish and maintain effective working relationships and to handle sensitive materials with discretion and tact.
  • Ability to independently handle multiple tasks and set priorities.

Aufgaben

  • Process Alumni Association Profile 2 Sync updates through GPS in the Identity, Home, and Work queues.
  • Create entities in the legacy Ellucian Advance system for data cleanup and CRM migration activities before Shellforce go-live.
  • Fulfill assigned user requests through Jira Service Management.

Kenntnisse

Data validation
Analytical skills
Data entry
Communication skills
CRM experience
Data hygiene

Ausbildung

Bachelor's Degree

Tools

LexisNexis
Accurint
Advance
Salesforce

Jobbeschreibung

The University of Maryland is seeking a Data Support Analyst to assist the Business Intelligence team in maintaining accurate biographical records in the alumni and donor database. The role involves data validation, entry, research, and fulfilling user requests using Jira Service Management.

Preferred experience includes working with CRM systems (Advance, Salesforce) and data hygiene in a higher education development context.

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