data analyst in media intelligence

Andersen is a global technology provider delivering data analytics and AI-powered solutions that help organizations understand customer behavior, optimize marketing performance, and make informed business decisions. The project develops a large-scale media intelligence platform analyzing consumer attention and engagement across multiple screens in real time for the media and advertising industries.

• Own analytical projects end to end, from ambiguous stakeholder questions through scoping and analysis to actionable business recommendations;
• Analyze complex, large-scale datasets to identify trends in viewership and audience behavior and quantify their commercial value;
• Document methodologies and assumptions clearly to ensure reproducible and challengeable results;
• Measure and report data coverage, consistency, and quality across viewership, web, and third-party entity data, escalating material gaps to Data Science and Data Engineering;
• Investigate new and messy datasets and communicate when the data cannot support the question being asked;
• Define and maintain product and business metrics for audiences with cross-functional stakeholders;
• Support experiment design and read-outs for segment and targeting changes and interpret results with appropriate caution;
• Build and maintain dashboards that enable stakeholders to answer routine questions independently and retire unused dashboards;
• Write production-quality, well-documented SQL and Python for recurring analyses, versioned in Git and reviewed as code;
• Communicate data-driven results and recommendations clearly to technical and non-technical audiences, including commercial teams and senior stakeholders;
• Collaborate with Data Science, Data Engineering, Product, and commercial stakeholders to translate business questions into analytical specifications and support data models;
• Participate in cross-functional design reviews and working groups.

• Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a similar quantitative field, or equivalent practical experience;
• 3+ Years of professional experience in analytics, insights, or product analytics with the ability to own analytical projects independently;
• Advanced SQL for extracting, transforming, and analyzing large datasets, including window functions, complex joins, and query optimization;
• Experience querying and aggregating billion-row datasets in a distributed engine such as Spark or Databricks;
• Strong Python skills for statistical analysis of large datasets, with clean, documented, and reproducible code;
• Solid knowledge of applied statistics, including distributions, sampling, hypothesis testing, and evaluating estimates;
• Proven experience building data visualizations and dashboards for audiences with different levels of technical expertise;
• Git and collaborative code review practices;
• Upper-Intermediate English or higher;
• Nice to have: A/B testing or incrementality measurement in marketing or media, knowledge graphs, taxonomies or entity/product hierarchies, dbt, semantic layers or data modeling, ML concepts, privacy-preserving data practices including GDPR and consent, TV measurement and vendor landscape, effective use of AI assistants.

• Up to an additional 1,000 EUR per month depending on expertise, included in the annual bonus;
• Corporate training portal;
• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems;
• Certification compensation, including AWS and PMP;
• Referral program;
• Private health insurance and sports compensation depending on the type of employment;
• Corporate activities, including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies.