Analytics Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and strategize large-scale digital analytics implementations for clients utilizing platforms such as Google Analytics 4 and Adobe Analytics.

• Conduct audits of implementations, pinpoint technical or configuration issues, and propose viable solutions.

• Develop measurement frameworks aligned with business outcomes and nonlinear customer journeys.

• Implement analytics and marketing tags via Tag Management Systems.

• Collaborate with developers, IT, clients, SEO, Paid Media, Creative, and Data teams.

• Create technical documentation for team members, clients, and developers.

• Formulate and operationalize GEO measurement strategies across AI-driven search experiences.

• Define hypotheses, testing methodologies, success metrics, and assess causal relationships.

• Differentiate between correlation and incrementality using experimental design and analytical rigor.

• Present findings, recommendations, experimental outcomes, and strategic insights to clients and executive stakeholders.

• Independently oversee analytics workstreams across various client engagements.

• Manage client-facing deliverables from data extraction to presentation.

• Develop AI-assisted workflows, automations, scalable systems, dashboards, or tools.

• Lead discussions on client measurement strategies and assist with GEO Test & Learn initiatives.

⛳️ Requirements

• Expertise in advanced analytics implementation, encompassing behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement.

• Proficiency in aggregating data and constructing dashboards in LookerStudio, PowerBI, and Tableau.

• Comfortable engaging in discussions about incrementality, lift analysis, holdout methodologies, and causal inference concepts.

• Daily experience with AI tools, particularly Claude.

• Ability to create prompts, workflows, agents, and repeatable systems.

• Strong organizational and project management skills, including managing workload and deadlines in Wrike.

• Effective communication with both technical and non-technical stakeholders.

• Interest in emerging AI technologies and their influence on discoverability, customer behavior, and digital measurement.

• Capability to mentor teammates and enhance data literacy and analytics skills.

• Experience with Python, R, or data transformation workflows (bonus).

• Initial exposure to GEO, LLM visibility tracking, or AI search measurement (bonus).

• Experience in building automations, AI workflows, agents, or internal tools (bonus).

• Background in a consulting or agency setting (bonus).

🏝️ Benefits

• Final offered compensation determined by skills and experience.

• Compensation evaluation at least once a year.

• Equal opportunity employment.

• B-Corp Certified organization.

• Career Update newsletter.

• Human review of AI-assisted hiring decisions.