Middle+ Marketing Data Analyst

Role overview

This opportunity is for a Middle+ Marketing Data Analyst based in Germany and shared on behalf of a partner company that handles applications and the hiring process. The role sits at the point where marketing, analytics, and business intelligence meet, with a focus on turning complex marketing datasets into clear, practical insights that support better decisions and measurable outcomes.

You will own delivery for client accounts end to end in a fast-moving remote-first setting. The work involves building reporting solutions, improving data quality, maintaining analytics workflows, and partnering with clients and internal teams to solve data problems and communicate findings in a way that is easy to act on. This position is well suited to someone detail-focused, comfortable with challenging datasets, and interested in using modern BI, data modeling, and AI tools to improve speed and impact.

Accountabilities

• Take responsibility for analytics delivery across assigned client accounts, making sure reporting outputs support business priorities and marketing objectives.
• Create, maintain, and improve dashboards and reports in BI tools such as Looker, Power BI, and Tableau.
• Write, debug, and refine SQL queries used for analysis, reporting, investigations, and validation tasks.
• Build and support data transformation pipelines using data modeling practices and tools such as dbt.
• Run quality checks and user acceptance testing to verify accuracy, consistency, reliability, and trust in data.
• Work with stakeholders to understand requirements, turn business needs into analytical solutions, and present insights clearly.
• Spot trends, risks, and growth opportunities in marketing data and recommend actions that improve performance.
• Use AI-enabled tools to speed up analysis, reporting, documentation, and other day-to-day analytical work.

Requirements

• At least 3 years of experience as a Data Analyst, with a strong emphasis on marketing analytics and related data ecosystems.
• Advanced capability in at least one major BI platform such as Looker, Power BI, or Tableau, with the flexibility to work across several reporting environments.
• Strong SQL knowledge, including experience creating, optimizing, and troubleshooting complex queries.
• Practical experience with data modeling methods and transformation tools, preferably dbt.
• Strong understanding of Google Analytics and how marketing performance is measured.
• Hands-on use of Git for version control and collaborative development.
• Excellent analytical reasoning, problem-solving ability, and close attention to detail.
• Proven experience working directly with clients, explaining technical topics clearly, and delivering insights with business impact.
• Experience with QA/UAT and validation of large datasets.
• Professional English communication skills, both written and spoken.
• Comfort using AI tools and incorporating them into analytical workflows.
• Exposure to digital marketing platforms, marketing data sources, or agency environments is a plus.

Perks and benefits

• Fully remote work with flexibility and autonomy.
• Competitive compensation.
• Stock option opportunities.
• Medical and dental coverage.
• Retirement savings support through a 401(k) plan.
• Unlimited paid time off.
• 13 paid holidays each year.
• Learning and professional development reimbursement.
• Access to innovative AI-driven analytics tools and methods.
• Exposure to international clients and large-scale marketing data projects.

Additional information

The hiring company is the partner organization listed on the posting; it manages applications, screening, interviews, and next steps. A shortlist is created through an AI-assisted matching process that evaluates applicants against the role’s core requirements and then shared with the employer for final decision-making. The selection process may use AI tools to assist with application review, resume analysis, and response checks, but human reviewers make the final hiring decisions.

Data privacy notice

By submitting an application, candidates acknowledge that their personal data may be processed to assess candidacy and shared with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. Applicants may request access, correction, deletion, or objection related to their data at any time.