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Customer Analytics AnalystInspire Brands IncSandy Springs, Georgia, United States
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Customer Analytics Analyst

Inspire Brands Inc
  • US
    Sandy Springs, Georgia, United States
  • US
    Sandy Springs, Georgia, United States

About

About the Role The purpose of this position is to empower data-driven strategic decision making by turning large data into actionable insights. Partnering with our data, product, and marketing functions, this role will manage the analysis and vision for our multi-million-dollar loyalty / personalized customer marketing efforts. This position will build and manage the ability to target our guests with personalized communications and offers and to analyze the performance of those offers. They will also be responsible for a more holistic view of loyalty program performance and the analysis of broader offer initiatives. This role is integral in driving forward our investment in a proprietary personalization function to improve both the infrastructure and individual audience targeting over 200 million consumers and households containing thousands of customer attributes. The position will leverage our industry leading platforms to influence marketing strategy based on advanced analytics and insights.
* This position is required onsite in Sandy Springs, GA 4 days per week, typically Monday through Thursday
Responsibilities
Develop and maintain customer performance reporting, dashboards, and automated analytics that track key customer metrics including acquisition, activation, retention, reactivation, churn, frequency, engagement, and customer lifetime value.
Analyze customer, loyalty, offer, and transaction data to identify trends, opportunities, and risks that inform marketing, product, and digital growth strategies.
Drive the measurement and analysis of loyalty, personalization, and customer marketing initiatives across Inspire Brands, translating large-scale customer data into actionable business recommendations.
Evaluate test-and-learn initiatives, including test/control methodologies and incrementality measurement, to assess the effectiveness of offers, campaigns, and customer experiences.
Communicate complex analytical findings in a clear and compelling manner through presentations, dashboards, and stakeholder‑ready recommendations.
Education Qualifications Minimum: 4‑year degree in Statistics, Data Science, Computer Science, Business Analytics, Operations Research, Mathematics, Engineering, Physics, Quantitative Economics, or another relevant discipline required.
Experience Qualifications
2+ years of data analysis experience using SQL, R, Python, and/or other advanced statistical techniques.
2+ years of reporting and dashboarding experience using Tableau, Power BI, and/or other visualization software.
1+ years of experience with marketing analytics and/or customer analytics (loyalty and lifecycle concepts), including hospitality, travel, retail, or consulting environments.
Required Knowledge, Skills, or Abilities
Excellent oral and written communication skills.
Strong problem‑solving and critical‑thinking skills with the ability to leverage data to structure ambiguous business questions, identify root causes, and develop actionable recommendations.
Advanced SQL and Excel skills.
Conscientious about meeting project deadlines.
Personal integrity, humility, an appreciation for teamwork, and a sense of humor.
Passion for the restaurant industry and desire to train in our restaurants to learn operations.
Self‑starter personality who can operate with minimal supervision.
Ability to travel up to 5% of the time.
Preferred
Experience with Snowflake database syntax and best practices.
Experience creating and maintaining routines and tasks to manipulate raw data to support automated dashboards in Tableau/Power BI or other business intelligence software.
Experience working with test & control group design to measure campaign effectiveness with statistical significance.
Experience working with multi‑channel campaign engagement or marketing data sets.
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  • Sandy Springs, Georgia, United States

Languages

  • English
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