Salary
💰 $120,000 - $160,000 per year
About the role
- Build and maintain Tableau dashboards to visualize VIP program performance and key business metrics.
- Develop SQL queries to extract, analyze, and manipulate large datasets, driving customer engagement insights.
- Collaborate with analytics engineering teams to build and maintain data pipelines for VIP related data.
- Analyze sales operations, customer reinvestment trends, and engagement behaviors to inform VIP program strategy.
- Develop predictive models to optimize customer segmentation, routing, and personalized VIP journeys.
- Provide data-driven recommendations to improve customer relationships, maximize engagement, and enhance the VIP experience.
- Automate reporting processes and streamline data workflows for efficiency and scalability.
- Effectively communicate insights to commercial, marketing, operations, and executive leadership teams to drive strategic initiatives.
Requirements
- 5+ years of experience in data analytics, business intelligence, or data engineering.
- Advanced SQL proficiency, with experience handling large-scale datasets and optimizing queries.
- Strong expertise in Tableau for dashboard development, visualization, and performance tracking.
- Understanding of analytics engineering best practices, pipeline optimization, and automation.
- Experience with DBT is a plus.
- Ability to think strategically and translate data into business insights and revenue-driving recommendations.
- Experience with customer loyalty programs, engagement analytics, or VIP strategy is a plus.
- Self-motivated, highly detail-oriented, and strong problem-solving mindset with the ability to work independently.
- Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.
- Salary range $120,000 to $160,000
- Bonus
- Full-time employment
- For information about our benefits, please visit https://benefitsatfanatics.com/
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLTableaudata analysisdata manipulationpredictive modelingdata pipeline developmentdata automationcustomer segmentationDBT
Soft skills
strategic thinkingproblem-solvingself-motivationattention to detailcommunication