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. Its media intelligence platform analyzes consumer attention and engagement across multiple screens in real time, providing audience insights, measurement, and analytics solutions 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 audience metrics with cross-functional stakeholders and ensure consistent metric definitions;
• 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 independently own analytical projects;
• 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 and clean, documented, reproducible code;
• Solid knowledge of applied statistics, including distributions, sampling, and hypothesis testing;
• Experience building data visualizations and dashboards for audiences with different levels of technical expertise;
• Git and collaborative code review practices;
• English at Upper-Intermediate level or above;
• 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, GDPR, consent and data clean rooms, TV measurement and vendor landscape, effective use of AI assistants in analytical workflows.

• Additional earnings of up to 1,000 EUR per month depending on expertise level, included in the annual bonus;
• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems for each new employee;
• Access to the corporate training portal;
• Certification compensation, including AWS and PMP;
• Private health insurance and sports compensation depending on the type of employment;
• Referral program;
• Locations include Poland, Portugal, and The Netherlands.