Data Analytics Specialist at University of Pittsburgh

Posted in Other 20 days ago.

Type: Full-Time
Location: Pittsburgh, Pennsylvania





Job Description:

Data Analytics Specialist



Applicants should include salary expectations in cover letter.

Pitt IT provides innovative services to support teaching, learning, research, and administrative functions at the University. We are committed to leveraging resources to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.

The University offers a robust retirement savings plan with 100% employer match, 150% after vesting. 11 Paid Holidays. Paid Vac, Sick, Personal. Add'l Winter Recess Paid Time Off. Paid Parental Leave. Above-average Employer Contribution toward Medical, Prescription Drug, Dental, Vision, Life, and more. Education benefits for staff, spouses/partners, dependents. Student loan assistance. Free transit pass.

Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status.

Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”


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

Data analysis, organization, visualization.

Must have the ability to work with PC equipment and related hardware/software and telephony video-conferencing systems. Must have good written and verbal communication skills, as well as, analytical, organizational, and planning skills.


Physical Effort

Generally sedentary desk work with computer-keyboard-video phone other than traveling to other buildings on campus for meetings/events on occasion. Must be able to sit or stand for prolonged periods of time.


The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.


The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.



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: M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number on a rotating basis.

Work Arrangement: M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, urgent support, or scheduled downtime changes. May be responsible for manning an escalation/on-call phone number on a rotating basis.

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

Optional Documents: Cover Letter





PI254364143


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