Manager of Customer Analytics & Strategy - Orlando Based

Red Lobster, Inc.; Orlando (FL); On-site; USD 85,000 - 115,000; Full time

Job summary

A prominent dining and hospitality company is seeking a highly analytical Manager of Customer Analytics & Strategy to enhance customer engagement and optimize marketing performance. The ideal candidate will possess deep expertise in customer segmentation, CRM analytics, and data visualization, along with strong SQL skills. This position requires 6-10 years of related experience and involves leading data-driven initiatives to inform business strategies. Candidates must be local to Orlando and ready to work in the office four days a week.

Qualifications

• 6-10 years of experience in customer analytics, data science, or marketing analytics roles.
• Experience with digital media measurement, attribution, or cross-channel reporting.
• Demonstrated ability to connect data insights into business strategy and measurable outcomes.

Responsibilities

• Lead the development and execution of customer analytics strategies.
• Extract and analyze large customer datasets using SQL.
• Build and maintain attribution models and performance dashboards.

Skills

Customer segmentation

CRM analytics

SQL

Data visualization tools

Statistical modeling techniques

Communication and presentation skills

Education

Bachelor's degree in Economics, Statistics, Mathematics, or related field

Tools

SQL

R

Tableau

Adobe Analytics

Snowflake

Job description

Overview

***Must live in Orlando and be in office 4 days a week***

We are seeking a highly analytical and strategic Manager of Customer Analytics & Strategy to lead data-driven initiatives that enhance customer engagement, optimize marketing performance, and drive business growth. This role requires deep expertise in customer segmentation, CRM analytics, media reporting, loyalty programs, and promotional effectiveness, as well as a strong command of SQL, data visualization tools, and statistical modeling techniques.

Key Responsibilities

• Lead the development and execution of customer analytics strategies to support CRM, loyalty, and omnichannel marketing efforts
• Extract and analyze large customer datasets using SQL to uncover actionable insights that improve targeting and personalization
• Build and maintain attribution models, forecasting tools, weekly reports, and performance dashboards for digital channels using Tableau, Power BI, and other platforms
• Develop and refine customer segmentation models using first- and third-party data to inform lifecycle marketing strategiesImplement structured testing frameworks to validate hypotheses, improve conversion rates, and guide promotional planning
• Partner with media team to ensure consistent tagging, UTM structure, and clean campaign metadata/taxonomy
• Define and evaluate seasonal and promotional audiences for deployment across email, SMS, and paid media channels
• Leverage redemption analytics to improve offer efficiency and align incentives with customer behavior
• Translate complex analytical findings into clear, compelling insights and recommendations for non-technical stakeholders
• Partner cross-functionally with IT, Marketing, third-party vendors and senior leadership to ensure data quality, ETL process efficiency, and analytical alignment

Qualifications

• Bachelor's degree in Economics, Statistics, Mathematics, or related field
• 6-10 years of experience in customer analytics, data science, or marketing analytics roles
• Experience with digital media measurement, attribution, or cross-channel reporting
• Proficiency in SQL, R, Tableau, Adobe Analytics, and Snowflake; familiarity with Python and data modeling a plus
• Demonstrated ability to connect data insights into business strategy and measurable outcomes
• Experience working with loyalty programs, CRM platforms, and promotional optimization
• Strong communication and presentation skills with proven stakeholder engagement

Preferred Attributes

• Experience in retail, QSR, or consumer-facing industries
• Demonstrated leadership in developing customer strategies that scale personalization and drive incremental revenue
• Ability to balance technical depth with strategic thinking in a fast-paced environment