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Data Insights Analyst
2 months ago
We are seeking a highly skilled Data Insights Analyst to join our team at Landry's Corporate Office. As a Data Insights Analyst, you will play a critical role in helping us drive business growth and customer engagement through data-driven insights.
Key Responsibilities- Data Analysis and Insights: Utilize data analytics and technology tools to build out dashboards, testing plans, report on success, and identify areas of opportunity.
- Campaign Reporting: Deliver regular campaign reporting across multiple channels to optimize customer audience targeting.
- Data-Driven Decision Making: Analyze data sets to identify trends, draw insights, and develop recommendations to improve customer retention and acquisition.
- Collaboration and Communication: Partner with cross-functional teams to understand business trends and relevant strategies, and supply data to support marketing message content, creative, and copy.
- Customer Data Management: Serve as the in-house expert on customer data points and maintain a complete customer database.
- Segmentation and Strategy: Identify key existing and potential customer segments, develop strategies to drive customer loyalty, and spend by analyzing multiple data sources.
- Metrics and Goal Reporting: Report on key metrics and goals for customer acquisition/conversion and retention.
- A/B Testing and Analysis: Develop and conduct A/B testing and analyze customer behavior, providing conclusions and recommendations to re-engage our customers.
- Tag Management: Support tag management to track standardized events and related customer behaviors.
- Industry Trends and Best Practices: Stay abreast of industry trends and best practices.
- ROI Improvement: Develop and test programs to consistently improve ROI and achieve customer, frequency, and revenue targets.
- Experience: Minimum 5-7 years of CRM experience, restaurant or hospitality experience a plus.
- Education: BA or BS degree required.
- Technical Skills: Microsoft PowerBI, Fabric, SSMS, and Azure experience; Salesforce certifications preferred (Marketing Cloud, Service Cloud); Google Tag Manager certifications a plus, advanced experience preferred; Google Analytics certifications a plus, advanced experience preferred; knowledge of SQL, Regular Expressions, HTML; experience with Python, R, and statistical analysis a plus.