Senior Organic Analytics Manager

Accountabilities:

• Lead recurring performance analysis across SEO, AI search/AEO, website and digital experience performance, and the organic funnel, identifying trends, drivers, concentrations, opportunities, and risks.

• Analyze organic search performance using GA4, Google Search Console, SEO platforms, and related datasets, including traffic, impressions, clicks, CTR, rankings, visibility, landing-page performance, and branded versus non-branded demand.

• Develop AEO measurement frameworks covering AI visibility, citations, share of voice, prompts and topics, search-engine performance, AI referral traffic, competitive positioning, and downstream business outcomes.

• Design measurement approaches for SEO, AEO, DXP, and CRO initiatives, establishing baselines, intervention dates, comparison groups, matched controls, and post-launch analyses where appropriate.

• Connect organic and AI discovery to website behavior, leads, applications, and enrollments, distinguishing traffic-driven changes from conversion-driven changes and evaluating site migrations, releases, and CRO initiatives.

• Reconcile data across GA4, Google Search Console, SEO/AEO platforms, CRM systems, and intervention records, investigating anomalies and identifying tracking, taxonomy, or data-quality issues.

• Define KPI logic, business requirements, reporting specifications, analytical views, change logs, and data-quality requirements in partnership with analytics and data engineering teams.

• Translate complex analyses into concise, decision-ready insights that explain what happened, why it happened, where performance is concentrated, and what actions should follow.

• Partner with analytics solutions and engineering teams to develop scalable reporting and data workflows, reducing reliance on repetitive manual analysis and spreadsheet-based processes.

• Monitor the effectiveness and adoption of organic analytics reporting, ensuring insights are credible, useful, and aligned with leadership and stakeholder needs.

• Support measurement of pilots, experiments, migrations, and rollouts by appropriately considering baselines, uncertainty, confounding factors, comparison groups, and attribution limitations.

• Serve as the primary day-to-day analytics partner for organic search, AEO, content, and digital experience stakeholders while contributing to broader channel analytics priorities.

Requirements:

• 6+ years of hands-on experience in digital/web analytics, organic or SEO analytics, marketing analytics, or a closely related data-driven field, with demonstrated ability to diagnose performance rather than simply produce reports.

• Advanced SQL skills, including the ability to independently pull, join, validate, and investigate complex web, marketing, and CRM datasets in cloud-based data environments.

• Strong proficiency with GA4 and Google Search Console, plus working knowledge of SEO platforms such as Ahrefs, Semrush, or comparable tools.

• Strong understanding of traffic sources, landing pages, events, funnels, rankings, visibility, search queries, content performance, and technical SEO concepts.

• Demonstrated expertise in funnel analytics, including connecting sessions and website behavior to leads, applications, enrollments, conversion rates, cohorts, maturation effects, and attribution or identity-resolution limitations.

• Strong data-quality, analytical-diagnosis, and executive-storytelling capabilities, with the ability to distinguish genuine performance changes from tracking or taxonomy issues.

• Experience defining KPIs, business requirements, analytical specifications, and reporting requirements for BI or analytics teams.

• Strong Excel skills and sufficient data-visualization expertise to design effective reporting without necessarily serving as the production dashboard developer.

• Working knowledge of experimentation and causal measurement concepts, including pre/post analysis, control or matched-comparison groups, confounding, statistical significance, uncertainty, correlation, and attribution limitations.

• Familiarity with AI and generative-search analytics, including AI visibility, citations, mentions, prompts, prompt themes, share of voice, source attribution, AI referrals, zero-click discovery, and differences between AI engines is highly desirable.

• Experience with platforms or technologies such as Profound, Ahrefs Brand Radar, Semrush AI visibility tools, Databricks, BigQuery, Snowflake, Salesforce data, Power BI, GSC/API data, web scraping, or log-file analysis is a plus.

• Experience with deeper experimentation or causal-inference methods, such as matched controls, difference-in-differences, natural experiments, incrementality, or rollout measurement, is advantageous.

• Python or R experience for prompt and citation analysis, URL classification, topic clustering, or competitor analysis is valuable.

• Experience working with DXP/CRO teams or within higher education, high-consideration lead-generation, or similarly complex customer journeys is preferred.

• Strong communication, problem-solving, stakeholder management, and executive presentation skills, with the ability to turn complex analysis into clear, actionable recommendations.

Benefits:

• Full-time, remote position within the United States.

• Opportunity to influence organic search, AI discovery, digital experience, and conversion analytics at scale.

• High-impact role connecting analytics directly to leads, applications, enrollments, and strategic business decisions.

• Collaborative environment with exposure to SEO, AEO, CRO, CRM, analytics, data engineering, and digital experience teams.

• Opportunity to work with modern analytics, cloud data, AI-search, and measurement technologies.

• Equal-opportunity workplace committed to diversity and inclusion.

• Professional growth opportunities through cross-functional collaboration and ownership of high-visibility analytical initiatives.