Data Analyst - Marketing (Remote)

Key Responsibilities

• Analyze CRO, SEO, PPC, and digital marketing performance data to identify trends, performance gaps, and opportunities for optimization.
• Prepare analytical reports and performance summaries covering campaigns, traffic sources, conversion activities, and key marketing metrics.
• Support the development and refinement of measurement frameworks used to evaluate digital marketing campaigns and initiatives.
• Evaluate marketing performance and investigate data-driven issues, risks, and opportunities to support informed business decisions.
• Analyze user behavior, customer journeys, and conversion pathways to identify opportunities to improve digital experiences and campaign effectiveness.
• Assess intake funnels, landing page performance, and A/B or multivariate testing results, providing actionable recommendations based on findings.
• Develop and maintain data visualizations, dashboards, and presentations that turn complex marketing data into clear business insights.
• Use AI, analytics tools, and other relevant systems to improve research, analysis, reporting efficiency, and the quality of insights.
• Clearly frame analytical problems, investigate root causes, and take ownership of recommendations through validation using relevant KPIs, performance data, or feedback.

Skills, Knowledge and Expertise

• Experience analyzing digital marketing data and translating findings into actionable business recommendations.
• Hands-on exposure to CRO, SEO, PPC, campaign performance, conversion analysis, and digital marketing metrics.
• Ability to analyze trends, identify performance gaps, and investigate the factors affecting marketing outcomes.
• Experience working with dashboards, data visualizations, analytical reports, and performance summaries.
• Familiarity with A/B testing, multivariate testing, funnels, landing page analysis, and customer journey analysis.
• Strong analytical and problem-solving skills, with the ability to define questions clearly and use data to validate conclusions.
• Practical experience using AI tools as part of day-to-day analysis, research, reporting, or productivity workflows.
• Ability to use data, KPIs, and performance feedback to assess whether recommendations or optimization efforts are producing meaningful results.