<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>AutoScout24</strong> is on a mission to revolutionize how marketing decisions are driven through data and analytics. We are seeking an experienced and motivated Marketing Data Analyst (m/f/d) to take ownership of our marketing analytics framework and help us make data-informed decisions to optimize efficiency and ROI of our multi-channel marketing funnel. This role is perfect for someone who combines strong technical skills with sharp business judgment - and who thrives working close to top management on high-impact, complex analyses.<br/><br/><em>Our team treats AI as a core working principle. We actively integrate AI tools into our day-to-day workflows to raise the speed, quality, and depth of our analytics work — and we expect this mindset from everyone who joins us.<br/><br/></em><strong>What you will do <br/><br/></strong><ul><li>Design and implement scalable data models and pipelines within our Data Lake, to integrate and manage marketing data across channels. </li><li>Build and maintain engaging dashboards to monitor demand, user acquisition and marketing efficiency, following best practices in data visualization to deliver clear and actionable insights. </li><li>Empower marketing teams with self-service analytics by curating reliable data sources and building automated, scalable data solutions that enable independent, data-driven decision-making. </li><li>Work closely with online, app, and offline marketing teams to deliver insights and recommendations that optimize multi-channel efforts, media planning, budget allocation, and user acquisition. </li><li>Partner with fellow analysts to evaluate performance across key platforms — including Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo — and translate findings into strategy. </li><li>Lead exploratory analytics projects — including new KPI development, A/B testing, incrementality studies, offline measurement, and attribution modelling — to address evolving business challenges. </li><li>Contribute technical expertise and business judgment to deep-dive analyses and reports for senior and top management, and lead multi-disciplinary projects end-to-end, managing timelines and stakeholder communication. </li><li>Leverage AI tools and automation to increase the efficiency, quality, and scale of analytical work — from data preparation and insight generation to reporting and stakeholder communication. <br/><br/></li></ul><strong>What you will bring <br/><br/></strong><ul><li>4+ years of experience in marketing analytics, ideally in online marketplaces, B2C or B2B environments, with a strong grasp of online and app marketing, campaign optimization, and budget allocation. </li><li>Proficiency in SQL and hands-on experience building data pipelines and ELT workflows using tools like Airflow and dbt, with familiarity across cloud platforms such as BigQuery, Redshift, or Snowflake. </li><li>Strong experience with BI and dashboarding tools (Tableau, QuickSight, PowerBI, or similar) and a solid understanding of data visualization best practices. </li><li>Deep understanding of Google Analytics, MMPs (Adjust, AppsFlyer), and major ad platforms (Google, Meta, Criteo), including tracking systems and reporting structures. </li><li>Proven ability to translate complex data into clear, actionable recommendations for both technical and non-technical audiences, including C-level stakeholders. </li><li>Outstanding attention to detail and a strong analytical mindset, with a grasp of statistical concepts to deliver effective and pragmatic solutions. </li><li>A proven track record of proactively and independently leading cross-functional analytics initiatives in a collaborative, multi-level organization. </li><li>A proactive approach to integrating AI tools into analytical workflows — with genuine curiosity about how AI can improve the speed and quality of data work. </li><li>Excellent verbal and written English skills. <br/><br/></li></ul>Nice to have<br/><br/>Experience with web/app marketing attribution, budget planning, or forecasting models<br/><br/><ul><li> Amazon QuickSight</li><li> Google Search Console</li><li> Google Tag Manager</li></ul> </div>