Location: Pala, CA

The Senior Database Marketing Analyst is responsible for performing advanced data analysis of all aspects of Pala Casino Resort and Spa.  Responsible for producing reports on numerous data points which will enable management to make more informed business decisions.  Provide management with analysis, summaries and recommendations based on your findings.  Lead analysis to gather data, organize it into reports and provide conclusions.  Perform ad-hoc reporting based on departmental needs.

QUALIFICATIONS: (Include equipment knowledge/use)

• Minimum five (5) years of experience in marketing analysis.
• Proficiency in SQL, SAS, Powerbi, Lookr or tableau and bachelor’s degree in math, Finance, accounting, or data science.
• Strong analytical and problem-solving skills.
• Experience with customer segmentation, predictive modeling and A/B testing.
• Microsoft Access, or knowledge of other data access and reporting tools
• Microsoft Office
• Must understand how to calculate the ROI of a project.
• Excellent guest service, people and organizational skills.
• Excellent communication and presentation skills.
• Must be able to delegate effectively and manage time well

ESSENTIAL JOB FUNCTIONS:

Data Analysis and Reporting

• Utilize SQL, SAS, PowerBi, Lookr, and/or Tableau to analyze large datasets and generate insightful reports for marketing campaigns and initiatives.
• Develop and maintain dashboards to track key performance indicators and marketing metrics.

Customer Segmentation

• Conduct customer segmentation analysis to identify target audiences for marketing.
• Collaborate with marketing teams to tailor strategies based on customer behavior and preferences.

Campaign Optimization:

• Evaluate the effectiveness of marketing campaigns though data analysis and recommend optimizations for future initiatives.
• Work closely with the marketing team to A/B test strategies and measure campaign success.

Database Management

• Manage and maintain the integrity of the casino’s customer database.
• Ensure data accuracy, completeness and compliance with privacy regulations.

Predictive Modeling

• Develop productive models to forecast customer behavior, preferences and lifetime value.
• Provide actionable insights to enhance player engagement and retention.

Collaboration

• Collaborate with Marketing, IT and other relevant departments to ensure seamless integration of data and analytics into marketing strategies.
• Communicate findings and recommendations effectively to stakeholders.

Continuous Learning

• Stay informed about industry trends, best practices and emerging technologies in data analytics and marketing.
• Share knowledge and contribute to the development of the analytics team.
• Other duties as assigned.