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Benefits • Competitive salary commensurate with experience and a performance bonus structure. • Full remote work flexibility, allowing you to work from anywhere. • Comprehensive health, dental, and vision insurance plans. • Opportunities for professional development and specialized training in marketing analytics. • A collaborative and supportive remote team culture focused on data-driven success.
About the Role Our client is seeking a data-driven and analytical Remote Performance Marketing Analyst to optimize their online advertising efforts. This role is critical for measuring, analyzing, and improving the performance of paid marketing campaigns across various digital channels.
Working entirely remotely, you will dive deep into campaign data to provide actionable insights, identify trends, and recommend strategies to maximize ROI and achieve marketing objectives.
The ideal candidate possesses a strong quantitative background, meticulous attention to detail, and a passion for leveraging data to drive impactful marketing decisions in a remote-first environment.
Key Responsibilities • Analyze performance data from various paid marketing channels (e.g., Google Ads, social media ads, display advertising). • Develop comprehensive reports and dashboards to track key performance indicators (KPIs) and campaign effectiveness. • Identify trends, insights, and opportunities for optimizing campaign spend, targeting, and creative elements. • Conduct A/B testing and multivariate testing to continuously improve campaign performance. • Collaborate with marketing managers to provide data-backed recommendations for campaign strategies and budget allocation. • Stay current with the latest trends and best practices in performance marketing analytics and tools.
Requirements • Proven experience as a Performance Marketing Analyst or in a similar data analysis role focused on digital advertising. • Strong proficiency in using digital marketing analytics platforms (e.g., Google Analytics, Adobe Analytics) and ad platforms. • Excellent analytical, quantitative, and problem-solving skills with a keen eye for detail. • Experience with data visualization tools and techniques is highly desirable. • Ability to interpret complex data and translate it into actionable business insights.
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