Data Analytics Developer/Analy...

uva University of Virginia

The University is pleased to invite candidates for the position of Data Analytics Developer/Analyst for the Managerial Reporting Project for the University Academic Division.

The Managerial Reporting Project (MRP) at the University of Virginia (http://managerialreporting.virginia.edu/) entails the university-wide rollout of multiple enterprise wide applications and a robust data environment in support of improved internal reporting capabilities. Our project team uses a hybrid Agile approach to software and reporting development, a stakeholder-focused and incremental approach to delivering value early and often.

The incumbent in this position is a key member of the project team, having the opportunity to design and develop critical outcomes in support of the University's Managerial Reporting Project. The person in this position will specifically advise on the design of data models, ETL, visualizations and analytics that meet the targeted need of individual departments, while maintaining conformity to enterprise guidelines. The individual will work directly with the Enterprise Applications team, department representatives and the Managerial Reporting Project team to design, develop and deploy the Qlik applications and supporting technologies.

**This is a restricted-term position projected for the duration of the University's Managerial Reporting Project**

Key Responsibilities:

  • Creates and advises on conceptual, logical, and physical modeling of the data models necessary to meet the distributed reporting needs of departmental report developers
  • Ensures security and metadata standards for distributed reporting are maintained and coordinated with the data warehouse team
  • Works with department developers, analysts and Technical System Owners to ensure applications meet performance requirements
  • Validates that the ETL mappings created by departmental developers contains the correct documentation, integration with enterprise data marts, and logic (including business logic for transformations)
  • Assists in the development and implementation of a distributed data governance lifecycle, including testing and validation techniques, and data management policies and standards
  • Provides technical assistance in identifying, evaluating, and developing systems and procedures primarily to meet distributed reporting needs
  • Develops performance enhancing features as needed to ensure speedy delivery of data to report users

University Leadership Characteristics:
For Thomas Jefferson, learning was an integral part of life. The “academical village” was created around the assumption that learning is a lifelong and shared process, and that interaction between scholars and students enlivens the pursuit of knowledge.

University Human Resources strives to identify applicants who will contribute as high potential employees, leaders and managers. We employ individuals who foster and promote the University mission and purpose. Successful candidates exemplify uncommon integrity; they are honest, trusted, team-oriented and live the core values of the University. These candidates display great judgment, by practicing evidence-based decision-making. They are strategically focused by contributing to and achieving department goals and vision. They set high performance standards and hold themselves accountable by aggressively executing these standards. These employees also develop a deep passion for the University and the impact it has on students, faculty, alumni and community. Successful candidates identify their personal career goals and development opportunities, and as supervisors, help their staff do the same. They contribute to team success by leading talent, through their individual efforts and by leading and developing their teams.

Closing Date:
Open Until Filled

Required Applicant Documents:
CV / Resume

Cover Letter

Contact information for 3 References – name, email, phone

E-mail a Friend:
jobs.virginia.edu/applicants/Central?quickFind=80414

Faculty, Professional Research Staff and University Staff – Executive

Tenure Status:Rank:Appointment Type:
Academic Year for Position? (e.g. 2015)

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