Marketing Data Analyst
Listed on 2026-05-28
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IT/Tech
Data Analyst, Digital Marketing, Data Science Manager, Data Mining
Headquarters, 222
E. 5th Street, Tucson, Arizona, United States of America
Posted Thursday, May 21, 2026 at 7:00 AM
Mister Car Wash is rewriting the rules of the car wash industry. Headquartered in Tucson, Arizona, we are the nation's largest and fastest growing multibillion dollar car wash company with over 500 car washes in 21 states!
We wash cars for the fun of it. We put people first. We help turn jobs into careers.
We’re currently seeking a Marketing Data Analyst to join our Headquarters team!
The Marketing Data Analyst owns the analysis of customer and marketing data to measure performance, understand customer behavior, and enable more relevant, personalized marketing experiences. This role partners with marketing, analytics, and IT teams to lead reporting, customer segmentation, and customer profile initiatives across digital channels and customer touchpoints. The position plays an important role in strengthening the foundation for customer‑centric and lifecycle‑based marketing by owning customer profiles, behavioral insights, and segmentation used across campaigns.
Through dashboards, analysis, and collaboration, this role drives engagement analysis across the lifecycle and informs ongoing optimization and personalization efforts.
Marketing Analytics & Reporting:
- Collect, analyze, and interpret marketing and customer data across campaigns, channels, and lifecycle stages — building and maintaining dashboards, recurring performance reports, and ad hoc analyses related to customer behavior, engagement, and conversion.
- Own campaign and journey performance analysis, including post‑campaign reporting, and monitor key marketing and customer engagement metrics, identifying trends and opportunities.
- Drive web and digital analytics efforts, including data from tools such as GA4, tag validation, event tracking review, and lifecycle‐related measurement documentation within established analytics frameworks, measurement plans, and attribution or funnel models.
- Run testing and experimentation analysis related to targeting, messaging, or journey optimization.
- Own the development, maintenance, and documentation of customer segments, aligned to lifecycle stages such as acquisition, onboarding, engagement, retention, and re‑engagement.
- Analyze customer behavior, engagement signals, and attributes to refine segmentation and lifecycle groupings, and evaluate segment performance and engagement outcomes across channels.
- Lead the creation and maintenance of customer profile attributes, including behavioral, transactional, and engagement data; validate and document customer attributes and profile elements across CRM, marketing platforms, and analytics tools. Identify gaps, inconsistencies, or opportunities within customer data that impact segmentation and targeting.
- Partner with marketing teammates and IT, analytics, and platform teams to understand reporting needs and ensure customer data availability and accuracy.
- Translate data into clear, practical insights that inform marketing decisions.
- Build knowledge of customer data platforms (CDPs), lifecycle marketing concepts, and personalization practices over time.
Note:
The job duties above provide a general sense of the role; though, additional duties may be assigned as necessary.
- Bachelor’s degree in Marketing, Analytics, Business, Information Systems, or a related field.
- 2 years of experience in marketing analytics, data analysis, customer data, or related work (internships, academic projects, or early career experience acceptable).
- Exposure to CRM, marketing automation, or customer data platforms (e.g., Braze, Salesforce, Hub Spot, CDP tools).
- Experience with data visualization tools (e.g., Tableau, Looker, DOMO).
- Familiarity with customer journeys, personalization, or lifecycle marketing concepts.
- Retail, ecommerce, or customer focused business experience.
- Foundational understanding of customer data, segmentation, and lifecycle or funnel concepts.
- Experience or exposure to analytics and reporting tools (e.g., GA4, GTM,…
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