Data, Analytics

1 week ago

College Park, United States teamworkonline Full time

LEGENDS

Founded in 2008, Legendsâ operating divisions worldwide include â Global Partnerships, Global Sales, Hospitality, Global Partnerships, Global Merchandise, Legends IQ, Attractions, Growth Enterprises â offering clients and partners a 360-degree data and analytics fueled service solution platform to elevate their brand and execute their vision. Currently, Legends works with marquee clients across business verticals including professional sports; collegiate; attractions; entertainment; and conventions and leisure. We are the industry leaders in designing, planning, and realizing exceptional experiences in sports and entertainment. For more information, visit www.Legends.net and follow us on Twitter and Instagram @TheLegendsWay.

THE ROLE

The Data, Analytics & CRM Specialist is principally responsible for assisting ICAâs external team within Maryland Athletics to drive strategy with data and actionable insights. This critical role will be focused on leveraging data analytics to drive marketing strategy, ticketing purchases, and fan engagement. This role will examine industry trends, ticketing purchase history, athletic constituent behavior patterns, media engagement, and historic athletic donation data to drive business performance in the following verticals: Revenue associated with the Premium Seating, Ticketing, and Fundraising.

To accomplish this task, the Data & Analytics CRM Specialist works with Ticketing, Marketing, Media Relations, Premium Seating & Athletic Fundraising, and Athletic leadership to understand, define and document the overarching business objectives. The Data & Analytics CRM Specialist will conduct full lifecycle activities to include requirements analysis and design, develop data insights and reporting capabilities, and continuously monitor performance and quality control plans to identify improvements to the overall data ecosystem. Additionally, you must be results-driven, possess an optimistic team-first attitude, and have excellent organizational and leadership skills.

ESSENTIAL FUNCTIONS
  • Work in a cross functional environment with various business groups, IT and end users to identify, document, and communicate business processes.
  • Collaborate with IT to oversee data governance, inventory, and dictionaries across external operations departments.
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Prepare ad-hoc queries as necessary using common reporting tools and other available tools and resources.
  • Utilize Salesforce and Paciolan platforms to identify areas for additional Paciolan partnership
  • Responsible for weekly sales and financial reporting by sport, as well as building digestible data visualizations to track sales, fundraising, renewals and goal progress.
  • Ability to build flexible and innovative strategies for how analytics can help determine target audiences, identify leads for ticketed sports and improve the effectiveness of current and future
  • Provide recommendations to the sales leadership team on how to leverage our CRM to execute on their strategic vision, including lead scoring, prospecting, and retention strategies.
  • Develop strategies around data enrichment that provide insights into new information, like audience interests and behaviors.
  • Design, build, drive and analyze campaigns to better engage the Terrapin Fans, Alumni, and donors and ultimately increasing sales, attendance, and revenue.
  • Identify major gift prospects and donors with higher annual fund capacity for Terrapin Club cultivation, while streamlining the Capital Gift reporting and collection process.
  • Oversee season ticket member survey process including creation, respondent collection, and summary of data, then making recommendations based off of those results.
  • Track ticket scans throughout Football & Menâs Basketball seasons to identify high-risk renewal accounts and overall areas for enhancement.
  • Collaborate on renewal projections and pricing adjustments as well as new revenue
QUALIFICATIONS
  • 2+ years experience with reporting tools (Tableau or PowerBI)
  • 3+ years experience working with data, analyzing, and creating reports in an enterprise
  • Knowledge of ETL processes and tools
  • Proficient in data analysis languages including SQL, Python, R
  • Familiar with relational databases and/or dimensional modeling concepts
  • Critical thinking skills to understand high level business questions and objectives
  • Strong project management skills and ability to manage multiple and diverse stakeholders and leadership roles
  • Bachelor's degree in Information Science, Information Systems, Data Science, Computer Science, Business, Statistics, Mathematics or related field
PREFERRED QUALIFICATIONS:
  • Experience utilizing Cloud systems for data management/processing (Azure/GCP/AWS)
  • 1+ years experience utilizing Snowflake/Databricks or a comparable tool
  • Graduate degree in Business, Statistics, Mathematics, Data Science, Data Analytics, Computer Science or a related field a plus
  • Experience working in the athletics industry
COMPENSATION

Competitive salary, commensurate with experience, and a generous benefits package that includes: medical, dental, vision, life and disability insurance, paid vacation, and 401k plan.

WORKING CONDITIONS

LOCATION: On Site College Park, MD

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit, talk, hear; use hands and fingers, and handle controls. The employee frequently is required to reach with hands and arms. The employee is required to stand, walk, and stoop. Specific vision abilities required by this job include close vision and the ability to adjust focus.

Legends is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, or genetic information.

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