/MARKETING BUSINESS ANALYST (HYBRID)

MARKETING BUSINESS ANALYST (HYBRID)

Atlanta, Georgiausvia direct
// Job Type
Full Time
// Salary
USD 45 - 55/hour
// Salary Range
45–55 USD / hour
// Posted
2 months ago

About the Role

Our CPG client is looking for a Marketing Business Analyst who will play a crucial role in shaping the future of marketing intelligence. They are looking to hire someone who is growth-oriented and able to transform data into actionable, predictive models, supporting a pioneering, AI-enabled marketing strategy. In this role you'll be asked to take a proactive approach, turning complex datasets into smarter, faster business decisions that accelerate measurable impacts.   Responsibilities: Architect & develop high-impact marketing dashboards using Power BI for real-time, data-driven insights across all channels and personas. Innovate and apply predictive models to forecast campaign outcomes, optimize strategies, and drive continuous improvement. Champion AI-driven initiatives, ensuring marketing data is centralized, consistent, and leveraged effectively for personalization and scale. Collaborate with cross-functional teams (IT, Engineering, Marketing) to integrate data sources and translate complex analytics into actionable recommendations for leadership. Secure data accuracy and consistency by developing and enforcing processes within our data governance framework (Salsify, HubSpot, etc.). Stay current with emerging tools and AI applications to pioneer the next wave of marketing intelligence practices.  Qualifications: Bachelor's degree in a relevant field (Analytics, Marketing, IS). Proven experience (2+ years) in business intelligence or data analysis, with specific focus on marketing performance reporting. Strong proficiency with Power BI (report building, data modeling, DAX) and SQL for data querying/transformation. Demonstrated proficiency with predictive modeling or advanced analytics techniques. Experience in cross-functional roles bridging marketing and IT/data engineering teams. Additional Skills: Experience with Python, R, or similar tools for automation and predictive modeling. Knowledge of cloud data platforms (Azure, Databricks).

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