Remote Web Analytics Jobs
169 Web Analytics jobs available for remote work from home. Apply for positions such as Senior Associate, Digital, Content Strategist, Director, Web & Conversion Optimization, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Associate will plan and execute digital campaigns across multiple channels while building AI-driven workflows to optimize repeatable tasks. They are responsible for managing paid media budgets, analyzing performance data, and delivering clear, actionable reporting to clients.
The Content Strategist will lead content strategy for legal clients by managing editorial calendars, optimizing workflows with AI, and ensuring all content aligns with performance KPIs. They will also collaborate with cross-functional teams to drive traffic, engagement, and conversions through data-backed marketing initiatives.
You will design and execute a comprehensive search and AI visibility strategy to drive qualified leads for the company. This involves managing technical SEO, optimizing content for generative AI engines, and reporting on performance metrics to leadership.
The Digital Content Manager will own the technical performance, discoverability, and optimization of digital content across search and AI-driven platforms. They will drive website performance through HubSpot CMS, analyze data to create optimization roadmaps, and improve conversion rates.
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The Junior Digital Merchandiser is responsible for managing product data, site content, and the overall online product experience across multiple brands. They will collaborate with cross-functional teams to optimize site storytelling, product launches, and promotional strategies to meet financial targets.
The Senior Director will own the end-to-end web strategy, managing the platform, engineering, UX, and content operations to drive measurable pipeline growth. They will lead a cross-functional team to optimize web performance, conversion rates, and the integration of the martech stack.
The Membership Analytics Engineer supports enterprise data workflows by gathering requirements, developing data models, and creating dashboards to empower data-driven decision-making. This role also maintains data pipelines and collaborates with stakeholders to translate business needs into effective data products.
Lead marketing strategy and manage a seven-figure budget, optimizing performance based on channel contribution margin. Independently manage and scale international Google Ads and other performance campaigns, oversee analytics and tracking, and coordinate with in-house design and IT/development teams.
Own the day-to-day technical delivery and quality of the eCommerce platform, including release execution, vendor-delivered code and architecture reviews, production issue resolution, and technical sign-off. Monitor platform performance and integrations, strengthen automated testing and security practices, and hold delivery partners accountable for scope, quality, and commitments.
Own analytics and reporting for Trulieve’s website and mobile app, analyzing customer journeys, conversion, campaigns, product performance, and loyalty program results. Identify growth opportunities, support experimentation, maintain measurement and data quality standards with partner teams, and present insights to leadership.
Manage growth across Salted’s brands, with a focus on moonbowls, by optimizing delivery marketplaces, websites, conversion funnels, retention campaigns, and physical pickup experiences. Analyze performance and profitability, test growth initiatives, identify expansion opportunities, and develop playbooks that can scale across brands and locations.
Own TechSoup’s organic social strategy, editorial content, paid social campaigns, and online community engagement across international channels. Manage campaign workflows and reporting using Wrike and HubSpot, and analyze performance and community insights to guide marketing decisions.
The SEO Content Specialist will develop and optimize website content to drive organic traffic while conducting competitive analysis and keyword audits. They will also collaborate with marketing teams and mentor junior staff to ensure consistent brand messaging and strategic campaign execution.
The AI Product Owner will manage the operation and optimization of AI-enabled business solutions, specifically focusing on Generative Engine Optimization (GEO) to ensure accurate brand representation. This role involves translating complex business requirements into actionable user stories and coordinating with cross-functional teams to maintain AI tool performance and compliance.
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The Marketing Manager will develop and execute multi-channel demand generation campaigns to drive pipeline and brand awareness for IT solutions. They will also manage co-marketing programs with vendors, oversee the marketing budget, and collaborate with sales teams to support lead qualification and account-based marketing.
The Solutions Marketing Manager will define and execute positioning, messaging, and go-to-market strategies for industry-specific solutions. They will also create sales enablement assets and collaborate across teams to drive market adoption and commercial success.
The specialist will analyze client website data to identify trends and anomalies while creating detailed reports. They will also collaborate with project managers to gather requirements and identify opportunities for A/B testing.
The specialist will analyze client web analytics data to identify trends and anomalies while creating detailed reports. They will also collaborate with project managers to refine reporting and identify opportunities for A/B testing.
The Manager of Tagging and Analytics will oversee data quality and tagging governance across the retail analytics ecosystem. They are responsible for managing vendor relationships, defining measurement strategies, and ensuring standardized data flows for business decision-making.
The Social Media Manager will own the day-to-day execution of organic social content, community management, and social listening across multiple platforms. They will also collaborate with marketing teams to deploy campaigns, measure performance, and optimize content to drive brand awareness and course demand.
The Data Analyst will own GA4/GTM measurement strategies and develop multi-channel funnel strategies to support the Global MarCom team. They will build data models and dashboards that connect website behavior to conversion while providing actionable insights to global stakeholders.
The Data Analyst will own GA4/GTM measurement strategies and build data models to connect website behavior to conversion. They will also partner with global stakeholders to provide actionable insights and support data-driven decision-making.
The Analytics Solutions Manager will design and optimize scalable data models and pipelines to support marketing, student success, and strategic initiatives. They will also pioneer AI-powered analytics and develop intuitive dashboards to drive data-informed decision-making across the organization.
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The manager oversees website operations, content strategy, and customer-centric digital experiences to drive engagement and self-service adoption. They collaborate across cross-functional teams to optimize customer journeys and implement data-driven improvements using SEO, AEO, and analytics.
Drive strategic organic growth by executing white-hat SEO strategies and performing in-depth technical audits for high-tier accounts. Collaborate with multi-disciplinary teams to implement integrated digital strategies and present data-driven insights to U.S.-based stakeholders.
You will own the end-to-end governance, implementation, and maintenance of the tag management system and data layer to ensure accurate marketing measurement. This involves collaborating with cross-functional teams to troubleshoot tracking defects, manage vendor tags, and validate data collection across all digital platforms.
Design and build AI-enabled features and backend services to improve search relevance and diagnostic tools. Collaborate with cross-functional teams to integrate AI solutions into production environments while monitoring quality, latency, and cost.
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