Senior Marketing Analyst, Strategy & Analytics

Role overview

This is a senior analytics role for a partner organization, with applications and hiring steps handled by the employer’s internal team. The position is based in the United Kingdom and offers a fully remote setup.

You will serve as a strategic analytics partner to marketing leadership in a fast-moving, global environment. The role centers on turning complex marketing data into practical insights that influence decisions across SEM, SEO, and newer AI-enabled acquisition channels. You will shape measurement approaches, build forecasting and analysis frameworks, and connect marketing activity to revenue outcomes. The work sits at the intersection of data, strategy, and operations, with a strong focus on improving how marketing performance is understood and optimized at scale. This opportunity suits someone who is comfortable with ambiguity, enjoys solving difficult problems, and wants to directly influence strategic marketing choices.

Accountabilities

• Examine large, complex marketing datasets to uncover trends, underlying causes, and key performance drivers across SEM, SEO, and AI-led acquisition channels.
• Create dashboards, reports, and visual tools, including Tableau-based outputs, to help marketing leaders make informed decisions.
• Develop forecasting models, carry out statistical analysis, and design experiments to measure performance and improve spend allocation.
• Set and harmonize marketing metrics so they reflect business goals and keep cross-functional teams aligned.
• Convert analytical findings into clear recommendations that strengthen conversion, efficiency, and revenue impact.
• Document and analyze end-to-end marketing funnels and data movement from acquisition through revenue generation to increase visibility and optimization opportunities.
• Use generative AI tools to improve analytics workflows, automate reporting, and evaluate AI-driven search channel results.
• Work closely with marketing, data, and business stakeholders to align priorities and advance strategic initiatives.

Requirements

• A bachelor’s degree in a quantitative or analytical discipline such as Mathematics, Statistics, Finance, Engineering, or Economics.
• At least 5 years of experience in data analytics, business intelligence, or marketing analytics.
• Minimum 2 years of experience in consulting or analytical operations settings.
• Deep knowledge of SEM, SEO, and AI-driven or generative search marketing channels.
• Strong SQL skills and hands-on experience with BI tools such as Tableau, Power BI, or Qlik.
• Exposure to R, Python, or comparable analytical tools is an advantage.
• Solid grounding in statistical analysis, experimentation, forecasting, and predictive modeling.
• Practical experience using generative AI tools such as ChatGPT, Claude, or Gemini for analytics or automation tasks.
• Ability to connect data insights with business strategy, financial impact, and operational results.
• Excellent communication skills with the ability to simplify complex analytics for non-technical audiences.
• Strong stakeholder management capability and the ability to juggle competing priorities in a dynamic environment.
• A proactive, solutions-focused mindset with the confidence to question assumptions and spot gaps.

Benefits

• 100% remote work with flexibility across locations.
• An opportunity to contribute to a high-impact, data-led marketing analytics function.
• Exposure to advanced marketing channels, including AI-powered search and generative discovery platforms.
• High autonomy and ownership over analytical frameworks and strategic insights.
• A collaborative, international, and fast-paced work culture.
• The chance to influence senior marketing strategy and business decisions.
• Access to modern data tools, BI platforms, and AI technologies.
• Compensation is transparent and aligned to the market, with details shared before the interview stage.

Additional information

Applications and subsequent hiring stages are managed by the partner company rather than this listing platform. Shortlisting is carried out through an AI-assisted matching process, after which selected profiles are shared with the employer’s recruitment team. Interviews, assessments, and the final hiring decision are handled internally by the employer.

Data privacy notice

By submitting an application, you consent to personal data processing for evaluation and sharing with the hiring employer under applicable data protection rules, including GDPR. You retain the right to request access, correction, deletion, or objection to processing at any time.

AI in hiring process

AI tools may be used to help review applications, analyze resumes, assess responses, and flag possible inconsistencies or verification signals from submitted materials. These systems support the recruitment process but do not replace human judgment, and the final hiring decision remains with people.