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Marketing Data Analyst
Job in
Orlando, Orange County, Florida, 32885, USA
Listed on 2026-02-07
Listing for:
LHH
Full Time
position Listed on 2026-02-07
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
On behalf of one of our clients, we are seeking a detail‑oriented Marketing Analyst who thrives at the intersection of data, reporting, and strategy. In this role, you will design, build, and maintain the dashboards and analytical frameworks that power our marketing decisions. You’ll partner closely with cross‑functional teams to translate raw data into insights, ensuring our strategies and campaigns are informed, measurable, and continuously optimized.
This is an ideal opportunity for someone who loves uncovering stories in data, enjoys building clean and intuitive reports, and wants to meaningfully impact strategic marketing direction.
Responsibilities- Build, maintain, and optimize recurring dashboards and reports supporting marketing leadership and cross‑functional teams.
- Develop data models and automated reporting processes to improve visibility into campaign performance and customer behavior.
- Ensure accuracy, consistency, and reliability across all marketing data sources.
- Partner with marketing, sales, and product teams to translate data findings into strategic recommendations.
- Lead the design and ongoing maintenance of Tableau dashboards and analytics work spaces used across the organization.
- Monitor data pipelines and integrations to ensure dashboards reflect accurate and up‑to‑date information.
- 2+ years of experience in marketing analytics, business analytics, or a related data-driven field.
- Hands‑on experience with Tableau, Google Analytics, and Salesforce (or similar CRM/analytics platforms).
- Strong proficiency in Excel or Google Sheets; experience with SQL, Python, or other analytical tools is a plus.
- Ability to synthesize data into clear insights and present findings to both technical and non‑technical audiences.
- Strong attention to detail, resourcefulness, and a passion for improving processes and data accessibility.
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