Data Analyst - West Virginia University

Learfield Amplify•Morgantown, WV

About The Position

Learfield Amplify is looking for a Data Analyst to join their strategic vision for the data and analytics team. In this role, you will develop strategic insights in a collegiate business setting for the Learfield Amplify partner. You will be responsible for mining customer profiles and analyzing behavioral data from multiple platforms and data sources, including online transactions, phone transactions, alumni club donations, email response data, fan surveying, and ticket sales, to support business decisions.

Requirements

1+ years of data & analytics-focused work
Experience working with data visualization and BI tools such as Tableau, Power BI, DOMO, etc.
Proficiency in at least one programming language such as SQL, R, Python, etc.
Knowledgeable in CRM administrative practices (Salesforce, MS Dynamics), Microsoft Office
Can translate your knowledge & experience to business use-cases and prioritized work
Must possess a high level of integrity and honesty; ability to influence others through leading by example
Manage time effectively and orchestrate multiple tasks simultaneously

Nice To Haves

Experience with Ticketmaster/Archtics or Paciolan is a plus, but not required
Sports/media/entertainment or sponsorship experience is a plus, but not required

Responsibilities

Performs on-going data analysis pertaining to the university's customer database, while maintaining, querying, validating the CRM and ticketing databases.
Work with Learfield Amplify Director of Ticket Sales & Service to help grow email subscription base, drive segmentation strategy for email campaigns, and create data-driven sales strategy.
Support Learfield with tracking sponsor sales and activation statistics.
Leverage data within Fanbase to identify new ticketing and sponsorship prospects for sales team.
Manage current and new Business Intelligence tools to help Learfield and athletic administration stay on the cutting-edge of data and tech that can be leveraged for revenue generation.
Produce research studies including but not limited to pricing analysis, survey analysis, season ticket holder retention and acquisition models, and lead scoring.
Work closely with Marketing, Development, and Ticket Operations to coordinate sales efforts and build, create and segment data.
Work collaboratively across all aspects of the enterprise (especially across multiple business units) to understand data and analytics needs and how the data & analytics team can most effectively service those needs.
Create and maintain a customer ranking system developed to maximize sales, email marketing opportunities.