Posted: Mar 1, 2026
Key Responsibilities: Campaign Analysis & Strategy: Analyze campaign performance data to identify trends, inefficiencies, and growth opportunities. Translate insights into actionable recommendations to refine targeting and budget allocation Operational Process Optimization: Diagnose bottlenecks in marketing workflows (e.g., reporting) and design scalable solutions (e.g., automation programs, dashboards). Tooling Infrastructure Development: Build and refine tools to streamline data pipelines, reporting systems, and cross-functional collaboration (e.g., SQL, BI tools, workflow orchestration). Cross-functional Collaboration: Partner with Marketing, Engineering, and Product teams to align technical solutions with business objectives. Insights-to-Action: Transform raw data into strategic narratives that inform marketing decisions and operational improvements. Qualifications: Technical Expertise: Proficiency in SQL, and data visualization tools (e.g., Tableau, Looker). Analytical Mindset: Strong problem-solving skills with a track record of optimizing processes, tooling, or campaign strategies. Communication: Ability to distill complex data insights into clear, actionable recommendations for non-technical stakeholders. Experience: 2+ years in data science, analytics, or a related field. Prior work in marketing analytics or operations is a plus. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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