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Data Analytics Lead

Data Analytics Lead

Health Sciences Research Administration - Pennsylvania-Pittsburgh - (26001137)


This position provides support to the Research Data Operations Team within the Office of the Senior Vice Chancellor for the Health Sciences. The Research Data Operations Team maintains quality historical, current, and future sponsored project award funding and proposal data for use in internal and external reporting, dashboards, and national rankings/surveys.


Job Summary

Evaluates business requirements and performs advanced data integration and analysis. Develops advanced analytical and reporting tools utilizing multiple sources of integrated data. Provides technical support.

Essential Functions

The ideal candidate will be skilled in developing Tableau dashboards and reports, integrating data from multiple sources, validating reporting logic, and applying strong analytical practices. They should demonstrate the ability to solve complex data problems, streamline processes, and leverage new technologies or automation to improve workflows. The candidate should have experience developing high‑visibility reports for large and diverse audiences and responding to ad hoc reporting requests with accuracy and efficiency. Additionally, the candidate will collaborate with IT and participate in the maintenance of data assets as needed.

This role requires strong attention to detail, technical acumen, and the ability to apply critical thinking skills.

Physical Effort

Little physical effort required. Duties are primarily sedentary. May be required to move objects up to 25 pounds occasionally.


The University of Pittsburgh is an equal opportunity employer / disability / veteran.


Assignment Category
Full-time regular
Job Classification
Staff.Data Analyst III
Job Family
Information Technology
Job Sub-Family
Analytics
Campus
Pittsburgh
Minimum Education Level Required
Bachelor's Degree
Minimum Years of Experience Required
5
Will this position accept substitution in lieu of education or experience?
Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule
Monday - Friday, 8:30 a.m. - 5:00 p.m.
Work Arrangement
Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range
To be determined based on qualifications
Relocation Offered
No
Visa Sponsorship Provided
No
Background Check
For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances
Not Applicable
Required Documents
Resume, Cover Letter
Optional Documents
Not Applicable

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