Player Analytics & Marketing Data Analyst

Socket.dev

State College (Centre County)

On-site

USD 85,000 - 125,000

Full time

9 days ago

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Benefits offered by this job

Medical, Dental, Vision Insurance
Company-Paid Life Insurance
Retirement Savings Options
Employee Assistance Program
Discounts (National and Local)
Free Employee Dining
Career Growth and Development

Job summary

Happy Valley Casino is seeking a Player Analytics & Database Analyst to join the Marketing and Analytics team in State College, PA. The role focuses on data-driven decision making, customer analytics, loyalty program management, and BI reporting, reporting to the Database Manager.

The person will develop dashboards, analyze promotions, customer segmentation, and revenue opportunities, collaborating with IT and operations to ensure data accuracy and timely insights.

Qualifications

  • Bachelor's degree in marketing, CS, data analytics, or related field.
  • 3+ years in database marketing, analytics, BI, or related field.
  • Proficiency in SQL, ETL, and data visualization tools.
  • Experience with Oracle databases and Linux preferred.

Responsibilities

  • Support marketing and loyalty initiatives through data analysis and segmentation.
  • Plan, implement, and evaluate targeted campaigns within SYNKROS system.
  • Maintain promotional calendars and configurations in SYNKROS.

Skills

SQL
ETL processes
Data visualization
Analytical thinking
Project management

Education

Bachelor's in Marketing
Bachelor's in Computer Science
Data Analytics related degree

Tools

Oracle databases
Linux environments
Microsoft Office

Job description

Happy Valley Casino is seeking a Player Analytics & Database Analyst to join the Marketing and Analytics team in State College, PA. The role focuses on data-driven decision making, customer analytics, loyalty program management, and BI reporting, reporting to the Database Manager.

The person will develop dashboards, analyze promotions, customer segmentation, and revenue opportunities, collaborating with IT and operations to ensure data accuracy and timely insights.

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