CHEIL USA

Senior Data Analyst, CRM

CHEIL USA Plano, Texas, United States

Advertising Services · 201-500 employees

5 h ago
data-analyst Senior (5-10 yrs) Full-time United States
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About the role

Analyze Samsung Mobile customer and campaign data to identify lifecycle growth, upgrade, and retention opportunities, build propensity models, and forecast campaign performance. Own cross-channel measurement and testing, integrate CRM, onsite, search, social, and paid media data, and communicate actionable performance insights to strategists and senior clients.

What they look for

Python SQL Propensity Modeling Churn Modeling CRM Analytics Adobe Analytics Google Analytics 4 Campaign Tracking Experiment Design Statistical Analysis Tableau Customer Segmentation Forecasting Search Analytics Social Listening Cross-Channel Analytics

Requirements

Requires 6+ years of marketing, CRM, or data science analytics experience, advanced Python and SQL, hands-on propensity or churn modeling, and experience with an enterprise CRM platform. Candidates must also have strong Adobe Analytics and GA4 experience, cross-channel data analysis skills, experiment design and statistics knowledge, and proficiency with Tableau or a similar BI tool.

Full description

Cheil USA/CRM Data & Analytics

Position Title: Senior Data Analyst, CRM & Digital Analytics 

 

Client account: Samsung

Location: Plano, TX / Hybrid

Team: CRM Data & Analytics (Data-driven Strategy), reporting to the Data Lead

Type: Full-Time

Start Date: Immediate

Position Overview

The Senior Data Analyst turns Samsung Mobile (MX) customer and campaign data into decisions the CRM strategy can act on. The role owns lifecycle analysis, propensity modelling and performance forecasting, and also owns digital and cross-channel analytics for the program: the measurement framework, tracking, test design, and a connected read of CRM, onsite, search, social and paid media data. You will be the analytical partner to the Strategy Lead and the senior voice on performance in front of the client.

Key Responsibilities

Lifecycle and customer insight

  • Analyze the customer lifecycle to find growth, upgrade and retention opportunities.
  • Deliver pre-campaign analysis that shapes audience, offer and touch structure.

Propensity modelling and segmentation

  • Build and maintain propensity models for retention, churn and switching using Python and machine learning methods.
  • Use model outputs to redefine segments and priorities with the Strategy team.

Forecasting and performance insight

  • Forecast campaign performance and set KPI targets before launch.
  • Lead post-campaign analysis and explain what worked, what didn't and what to change next.

Digital and cross-channel analytics

  • Own the measurement framework across email, push, RCS/SMS and Shop App push.
  • Define CID and UTM tracking standards and validate them in Adobe Analytics.
  • Design A/B and multivariate tests, set sample sizes and read significance.
  • Connect CRM engagement with onsite behavior in Adobe Analytics and Google Analytics to measure the full journey from message to purchase.
  • Analyze search demand and query behavior with Google Search Console and SEMrush to inform targeting, timing and messaging.
  • Analyze social conversation and sentiment with social listening tools to read customer response to launches and campaigns.
  • Combine CRM, onsite, search, social and paid media data into integrated campaign analysis and reporting.

Creative performance and AI

  • Guide analysis of the CRM creative taxonomy against performance (subject lines, modules, copy, visuals).
  • Apply AI and LLM tools to speed up analysis and reporting.
  • Review the Junior Data Analyst's reports and set analysis standards for the team.

Required Qualifications

  • 6+ years in marketing analytics, CRM analytics or data science, with analysis experience across multiple data sources (CRM, onsite, search, social and paid media).
  • Advanced Python and SQL; hands-on experience building propensity or churn models.
  • Hands-on experience with at least one enterprise CRM platform such as Adobe Campaign, Salesforce Marketing Cloud or Braze.
  • Strong hands-on experience with both Adobe Analytics and Google Analytics (GA4), including campaign tracking (UTM/CID) and CRM-to-onsite journey analysis.
  • Experience analyzing customer search behavior with Google Search Console, SEMrush or similar tools.
  • Experience analyzing customer social response with social listening tools such as Brandwatch, Sprinklr or Talkwalker.
  • Experience analyzing paid media data and combining it with CRM and onsite data for integrated campaign analysis.
  • Proficiency in Tableau or similar BI tools.
  • Solid grounding in experiment design and statistics.
  • Ability to translate analysis into clear recommendations for strategists and senior clients.
  • Experience with an enterprise customer data platform (CDP) is a plus.
  • Must be able to work the hybrid schedule at the agency in Plano, Texas.

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