Analytics Engineer, Athletics (remote)

University of Pittsburgh • Pittsburgh, PA • 17h ago

Who We Are: Panthers Data and Analytics represents the University of Pittsburgh Athletics Department as part of the University's Pitt IT Analytics team. Our mission is "Improve decision-making by managing data from source to strategy." We help Athletics improve 4 domain areas: operations, revenue generation, sports performance & sports analytics.

Who we are looking for: an experienced data/analytics individual contributor familiar working with complex customer data & collaborating with teammates directly, preferably in a sports setting. Aunique blend of business acumen & technical expertise positions you to create impactful, reliable, & innovative data solutions to help reach our goals.

What you will work on: The position will transform raw data into curated data and analytics products to inform Athletics decision-making. You will work on projects across all domains; however, the primary focus is on revenue generation domain. Projects could include dynamic pricing recommendations, lead list generation, customer experience analysis, etc.

Who you will work with: The Pitt Analytics team is a cross-functional team with a hybrid work structure (some on-site and some remote staff). The employee will collaborate closely with its analytics team members -- including data engineers, analytics engineers & data scientists -- to build solutions. This position should expect to work regularly with Athletics executives & department staff.

Required Technical Experience:

3+ years of experience in a data analyst, analytics engineering or similar role; preference toward experience specifically with sports industry revenue generation data such as from sports ticketing, CRM, & email marketing platforms

Database technologies (data lake & warehouse); business intelligence tools (Tableau preferred); version control systems (GitHub preferred).

Required Non-Technical Experience: Communicate effectively with, and "translate" between, technical & non-technical parties; Strong collaboration skills with a demonstrated ability of working well in a team; Self-directed, motivated & comfortable working in a fast-paced environment; Aptitude for managing diverse projects & navigating through shifting priorities & demands.

Desired (but not Mandatory): Experience with sports revenue technologies Salesforce, Eloqua & Paciolan; Experience working in (or with) a revenue unit for a professional or NCAA sports property

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

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.

Job Summary

Evaluates business requirements, creates data ingestion processes and modeling, and supports databases and relevant services. Ensures data quality and delivery. Supports data analysts and scientists with research and consulting.

Essential Functions

Working with PC related hardware equipment, software applications and telephony video conferencing systems. Written and verbal communication. Interpersonal relations. Analyzing and organizing information. Project planning and leading project teams. Proficient knowledge of IT.

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 Engineer II

Job Family: Information Technology

Job Sub Family: Database

Campus: Pittsburgh

Minimum Education Level Required: Bachelor's Degree

Minimum Years of Experience Required: 2

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, etc.

Work Arrangement: M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, etc.

Hiring Range: $80,000 - $90,000

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

PI276025952

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