Analytics Manager in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Manager based in the United States.

This role sits at the intersection of analytics strategy, digital measurement, and emerging AI-driven search behaviors, combining technical implementation expertise with high-impact client advisory work. You will design and scale measurement frameworks that help organizations better understand complex, non-linear customer journeys across digital channels. A significant part of the role focuses on turning fragmented data into clear business insights that drive confident decision-making. You will also play a key role in shaping how clients measure performance in evolving AI-powered search environments through emerging GEO (Generative Engine Optimization) practices. This position blends hands-on analytics execution with strategic consulting, requiring both technical depth and strong communication skills. You will collaborate across SEO, paid media, creative, and data teams while serving as a trusted advisor to clients. The environment is fast-moving, experimental, and deeply focused on innovation and continuous learning.

• Design and implement advanced digital analytics measurement solutions across platforms such as GA4 and Adobe Analytics for multiple client engagements.
• Audit, QA, and troubleshoot analytics implementations, identifying technical gaps and recommending scalable solutions.
• Build measurement frameworks that connect digital activity to real business outcomes beyond surface-level metrics.
• Implement and manage tagging solutions using tag management systems while collaborating with developers and technical stakeholders.
• Lead client-facing analytics workstreams, translating data insights into strategic recommendations and executive-ready narratives.
• Develop and execute GEO (Generative Engine Optimization) measurement strategies for AI-powered search environments.
• Design and evaluate experimentation and Test & Learn programs, including hypothesis creation, KPI definition, and causal analysis.
• Create and maintain documentation, dashboards, and reporting systems that evolve as living analytical products.
• Contribute to cross-functional collaboration across SEO, paid media, creative, and data teams to assess performance impact.

• 5+ years of experience in digital analytics, measurement strategy, or data-driven consulting roles.
• Strong hands-on expertise with GA4, Adobe Analytics, and tag management systems such as Google Tag Manager.
• Deep understanding of experimentation methodologies including incrementality testing, lift analysis, and causal inference principles.
• Ability to translate complex datasets into clear, actionable business insights for technical and non-technical stakeholders.
• Experience working in client-facing or consulting environments with ownership of multiple concurrent projects.
• Strong proficiency in analytics tools and comfort using AI tools (e.g., Claude or similar) to accelerate analysis and insight generation.
• Ability to build automations, workflows, or reusable systems that improve analytics efficiency and scalability.
• Strong organizational skills with experience managing deadlines and priorities in fast-paced environments.
• Curious, adaptable mindset with interest in AI, emerging search technologies, and digital measurement innovation.
• Experience with Python, R, or data transformation workflows is a plus.
• Exposure to GEO, LLM visibility tracking, or AI search measurement is a plus.

• Competitive annual salary ranging from $78,000 to $98,000, depending on experience.
• Annual compensation reviews and performance-based growth opportunities.
• Remote-first work environment with flexibility across the United States.
• Opportunity to work at the forefront of AI-driven analytics and emerging GEO methodologies.
• Collaborative, innovation-driven culture focused on experimentation and continuous learning.
• Exposure to cross-functional consulting projects across diverse industries and clients.
• Professional development opportunities, including training in AI, analytics, and advanced measurement techniques.
• Inclusive workplace culture with a strong emphasis on mentorship and knowledge sharing.