Analytics Engineer, Athletics (remote)

Overview

Remote
On Site
Full Time

Skills

Management
Data Analysis
Business Acumen
Decision-making
FOCUS
Pricing
Customer Experience
Cross-functional Team
Collaboration
Expect
Analytics
Customer Relationship Management (CRM)
Email Marketing
Database
Data Lake
Warehouse
Business Intelligence
Tableau
Version Control
GitHub

Job Details

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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.