Senior Digital Analyst

The University of Pittsburgh School of Health and Rehabilitation Sciences (SHRS) is a nationally renowned leader in the field of health care education, research, and clinical practice preparation. With 13 different disciplines related to health and rehabilitative care, SHRS shapes future generations of health care professionals—therapists, counselors, advocates, scientists, providers, and practitioners—trained to serve the needs of all people regardless of background, levels of health, or mobility. We are built on a legacy of academic excellence and innovation and fueled by passionate educators and researchers, allowing us to meet the health care and rehabilitation needs of today and drive meaningful change in the future. Learn how bold moves SHRS. https://www.shrs.pitt.edu/about/how-bold-moves-shrs

The Sr. Data Analyst will oversee and manage weekly, monthly, and ad hoc reporting of content performance and spend across the social and digital assets of SHRS. The candidate will contribute data-driven strategies to strengthen the enrollment funnel and the growth of quality leads. The candidate will also research and analyze performance by content type, platform, demographics, etc. that drive critical decision-making. They will work to collaborate with other members of the Dean’s Office Marketing, Communications, Recruitment and Enrollment (MCRE) team to build and maintain visual dashboards that track key metrics and enable self-service data discovery. The candidate will be expected to communicate insights and recommendations to the team’s leadership in a clear and concise manner and should have both technical and marketing expertise. Experience in Google Analytics (specifically GA4) and Google Ads required. Experience in Google Tag Manager, Salesforce, Meta, LinkedIn and ChatGPT is preferred. The candidate should also have the ability to build integrated, interactive and automated data dashboards. Tableau, Looker Studio, (or similar platform) expertise is recommended.

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

Simplify complex data into easy-to-understand information Provide insights into paid and organic media traffic Communicate findings to MCRE team Give insights to digital marketing team to help pivot and modify campaigns to optimize KPIs Connect CRM tools to data dashboards for simplified reporting Expertise in Google Analytics, Google Ads, Salesforce, Meta, LinkedIn, Tableau or similar platform - cross platform analytic reporting Implement tools and develop dashboards to report findings Regularly communicates data findings Stay up to date on latest tools and trends in data analysis Participate in professional development Other duties as assigned


Physical Effort

The incumbent must be able to carry out job responsibilities with reasonable accommodations. Must be able to lift or carry 25 pounds or less.

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: Monday - Friday, 8:30 a.m. - 5:00 p.m Work Arrangement: Monday - Friday, 8:30 a.m. - 5:00 p.m Hiring Range: TBD Based Upon 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 PI239631954