Senior Data Analyst, CRM

Cheil; Plano (TX); Híbrido; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Cheil in Plano, TX seeks a Senior Data Analyst, CRM & Digital Analytics to turn Samsung mobile data into actionable CRM insights. You will own lifecycle analysis, propensity modeling, and cross-channel analytics, partnering with Strategy Lead to guide performance for campaigns and programs.

The role requires strong Python/SQL, Adobe Analytics and GA4, plus hands-on experience with CRM platforms and BI tools. Hybrid schedule in Plano offered.

Formación

• 6+ years in marketing analytics or data science with analysis experience across CRM, onsite, search, social and paid media.
• Advanced Python and SQL with 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 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.

Responsabilidades

• Lifecycle and customer insight: Analyze the customer lifecycle to find growth, upgrade and retention opportunities.
• Propensity modelling and segmentation: Build and maintain propensity models for retention, churn and switching.
• Forecasting and performance insight: Forecast campaign performance and set KPI targets before launch.
• Digital and cross-channel analytics: Own measurement framework across email, push, RCS/SMS and Shop App push, validate tracking in Adobe Analytics.
• Creative performance and AI: Guide analysis of CRM creative taxonomy and apply AI tools to speed up analysis and reporting.
• Lead post-campaign analysis and explain what worked and what to change next.
• Connect CRM engagement with onsite behavior to measure full journey from message to purchase.

Conocimientos

Python

SQL

Propensity modeling

CRM analytics

Adobe Analytics

Google Analytics (GA4)

Campaign tracking (UTM/CID)

Tableau

Experiment design & statistics

Insights communication

Herramientas

Adobe Campaign

Salesforce Marketing Cloud

Braze

Adobe Analytics

Google Analytics (GA4)

Tableau

Brandwatch

Sprinklr

Talkwalker

SEMrush

Google Search Console

Descripción del empleo

We're a global creative, tech & marketing agency.With 8,000+ Cheilers across 46 countries, we're always lookingfor more remarkable people.

8,000+

Team Members

46

Countries

55

Offices

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.