Sally Beauty

Senior Manager, Customer Analytics

Sally Beauty

full-time

Posted on:

Location Type: Hybrid

Location: Plano • Texas • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPandasPySparkPythonScikit-LearnSparkSQL

About the role

  • Lead the strategy for understanding who our customers are, predicting what they will do next, and determining how to best engage them.
  • Increase Customer Lifetime Value (CLV) by powering hyper-personalized CRM campaigns, driving retention strategies, and proactively reducing churn.
  • Design rigorous Test & Learn frameworks, engineer advanced customer segmentation strategy, and synthesize complex data into compelling narratives for decision-making.
  • Manage the end-to-end operations of strategic customer test & learn programs across CRM, marketing, lifecycle, and LCOD initiatives.
  • Manage the operations of strategic customer campaign test designs (A/B testing, multivariate testing).
  • Own the measurement framework (Test vs. Control) to ensure consistent, scientifically valid execution of campaigns.
  • Lead the end-to-end development of customer 360 view and building data pipeline using Databricks and Python.
  • Mentor junior analysts and foster a culture of technical excellence and business curiosity.

Requirements

  • 8+ years of experience in Data and Customer Analytics, with at least 2+ years in a managerial or lead capacity.
  • Proven track record in Retail, CPG, or customer analytics is highly desirable.
  • Proven track record of using data to drive CRM strategy (Email/SMS/Push) and measurable business growth.
  • Education: Bachelor or Master’s degree in Mathematics/Statistics, Computer Science, Economics, or related field required. Master’s degree preferred.
  • Core Languages: Advanced proficiency in Python (pandas, scikit-learn) and SQL.
  • Hands-on experience with Databricks, Spark/PySpark, and cloud environments (Azure/AWS). Familiarity with platforms like Salesforce is plus.
  • Solid understanding of hypothesis testing, regression analysis, clustering (K-Means), Market Basket Analysis (MBA) and survival analysis.
  • Basis understanding of Power BI visualization is plus.
  • Mastery of PowerPoint and Excel. You must be able to build a deck that tells a story, not just displays charts.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLA/B testingmultivariate testingcustomer segmentationhypothesis testingregression analysisclusteringMarket Basket Analysissurvival analysis
Soft Skills
leadershipmentoringcommunicationstrategic thinkingdata storytellingbusiness curiosity