Senior Marketing Analyst
Columbia, Missouri, United StatesAll locationsColumbia, Missouri, United StatesClayton, Missouri, United StatesKansas City, Missouri, United States Hybrid
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About the role
The Senior Marketing Analyst serves as a subject matter expert in marketing data architecture, media performance analysis, and data visualization. Working within our agency’s analytics department, this role is responsible for driving innovation in how we track and report on client success. The Senior Marketing Analyst guides our data team on building complex data connections between Google Analytics and the media platforms, builds and maintains sophisticated automated dashboards in Tableau , and translates multi-channel media data into actionable insights for strategists and clients. This individual will manage the full lifecycle of marketing data, from ingestion and validation to visualization, while providing mentorship and technical guidance to the broader analytics team.
What you'll bring
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- The requirements listed below are representative of the knowledge, skill, and/or ability required.
- Professional Experience: Minimum of 3–5 years of experience in marketing data, media performance analysis, and visualization (agency experience is a significant plus).
- Tableau Mastery: Proficiency with a BI tool (Tableau, Power BI, or Looker) for building complex, automated marketing dashboards and data modeling.
- Google Analytics: Strong experience with GA4 reporting, including UTM setup and structure, event tracking, and traffic analysis.
- Media Platforms: Deep familiarity with reporting interfaces and data exports from major platforms (e.g., Meta Ads Manager, Google Ads, LinkedIn Campaign Manager, and Programmatic DSPs).
- Marketing Storytelling: Ability to bridge the gap between technical data and marketing strategy, presenting findings in a way that is accessible to non-technical audiences.
- Documentation: Proven ability to create training materials and SOPs for data processes.
- SQL: Experience using SQL for data querying and manipulation within cloud-based warehouses (e.g., BigQuery).
- Data Engineering: Familiarity with ETL processes and API integrations for marketing tools to guide our data team.
- Statistical Modeling: Experience with attribution modeling, media mix modeling (MMM), multi-touch attribution (MTA), or A/B testing methodology.
- Leadership: Experience leading projects or mentoring junior team members in a professional setting.