Senior Data Analyst, CRM

CHEIL USA•Plano, TX

2d•Hybrid

About The Position

The Senior Data Analyst turns Samsung Mobile (MX) customer and campaign data into decisions that inform CRM strategy. The role owns lifecycle analysis, propensity modeling, and performance forecasting, as well as digital and cross-channel analytics for the program, including measurement frameworks, tracking, test design, and integrated analysis of CRM, onsite, search, social, and paid media data. The analyst serves as an analytical partner to the Strategy Lead and as the senior voice on performance with the client. The position is on Cheil USA’s CRM Data & Analytics team, supporting the Samsung account, and reports to the Data Lead. It is based in Plano, Texas, with a hybrid schedule.

Requirements

At least 6 years of experience in marketing analytics, CRM analytics, or data science, including analysis across multiple data sources such as CRM, onsite, search, social, and paid media.
Advanced Python and SQL skills.
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 integrating it with CRM and onsite data for 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.
Must be able to work the agency’s hybrid schedule in Plano, Texas.

Nice To Haves

Experience with an enterprise customer data platform (CDP).

Responsibilities

Analyze the customer lifecycle to identify growth, upgrade, and retention opportunities.
Deliver pre-campaign analysis that informs audience, offer, and touch structure.
Build and maintain retention, churn, and switching propensity models using Python and machine learning methods.
Use model outputs to redefine segments and priorities with the Strategy team.
Forecast campaign performance and set KPI targets before launch.
Lead post-campaign analysis, explain results, and recommend changes.
Own the measurement framework across email, push, RCS/SMS, and Shop App push.
Define CID and UTM tracking standards and validate tracking in Adobe Analytics.
Design A/B and multivariate tests, set sample sizes, and evaluate statistical significance.
Connect CRM engagement with onsite behavior in Adobe Analytics and Google Analytics to measure the journey from message to purchase.
Analyze search demand and query behavior using Google Search Console, SEMrush, or similar tools to inform targeting, timing, and messaging.
Use social listening tools to analyze social conversation and sentiment and assess customer response to launches and campaigns.
Combine CRM, onsite, search, social, and paid media data into integrated campaign analysis and reporting.
Guide analysis of CRM creative taxonomy and performance, including subject lines, modules, copy, and visuals.
Apply AI and LLM tools to accelerate analysis and reporting.
Review the Junior Data Analyst’s reports and establish analysis standards for the team.