Senior Marketing Analyst, Strategy & Analytics

Role overview

This opportunity is offered through a hiring partner, which handles applications and all subsequent steps. The employer is seeking a Senior Marketing Analyst, Strategy & Analytics for a Germany-based role within a fully remote, international organization.

You will act as a strategic analytics partner to marketing leadership, turning complex performance data into practical recommendations that guide decisions across SEM, SEO, and new AI-led acquisition channels. The position combines strategy, analytics, and operational thinking, with a focus on defining metrics, building forecast models, and linking marketing activity to revenue outcomes. It suits someone who enjoys solving ambiguous problems, working across functions, and influencing marketing strategy at scale.

What you'll do

• Work through large and complex marketing data sets to uncover trends, root causes, and key performance drivers across SEM, SEO, and AI-driven acquisition channels.
• Create dashboards, reports, and visual outputs, including Tableau-based materials, to help marketing leaders make informed decisions.
• Design forecasting models, carry out statistical analysis, and run experiments to measure performance and improve budget allocation.
• Establish and align marketing metrics so they accurately reflect business goals and create consistency across teams.
• Turn analytical findings into clear recommendations that improve conversion rates, efficiency, and revenue impact.
• Trace full marketing funnels and associated data paths from acquisition to revenue to improve visibility and identify optimization opportunities.
• Use generative AI tools to streamline analytics workflows, automate reporting, and evaluate performance in AI-powered search channels.
• Partner with marketing, data, and business stakeholders to set priorities and support strategic initiatives.

What the role requires

• 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 environments.
• Strong experience analyzing SEM, SEO, and AI-based or generative search marketing channels.
• Solid SQL skills, along with exposure to BI tools such as Tableau, Power BI, or Qlik.
• Experience with R, Python, or similar analytical tools is an advantage.
• Good command of statistical analysis, experimentation, forecasting, and predictive modeling.
• Practical use of generative AI tools such as ChatGPT, Claude, or Gemini for analytics or automation tasks.
• Ability to connect data insights with business strategy, financial outcomes, and operational performance.
• Strong communication skills with the ability to simplify complex analysis for non-technical audiences.
• Effective stakeholder management and the ability to balance multiple priorities in a dynamic setting.
• A proactive, solution-focused approach with the confidence to question assumptions and spot gaps.

Benefits and highlights

• Fully remote setup with flexibility across global time zones.
• Chance to contribute in a high-impact, data-led marketing analytics function.
• Exposure to advanced channels such as AI-driven search and generative discovery platforms.
• Considerable ownership and independence in shaping analytical frameworks and insights.
• Collaborative, international, and fast-moving team environment.
• Opportunity to influence senior marketing strategy and broader business decisions.
• Access to modern data platforms, BI tools, and AI technologies.
• Compensation aligned with the market and disclosed before interviews.

Application and privacy information

The hiring partner uses an AI-assisted matching process to review applications quickly and fairly against the role’s core criteria. Suitable candidates are shortlisted and passed to the hiring company, whose internal team manages interviews, assessments, and final decisions.

By submitting an application, you agree that your personal data may be processed to assess your candidacy and shared with the employer under applicable data protection rules, including GDPR where relevant. You also acknowledge that AI tools may support parts of the recruitment workflow, such as resume review and response analysis, but final decisions remain human-led.