Data Analyst

Summary

Andersen is hiring a Data Analyst for a project developing a large-scale media intelligence platform and delivering real-time audience insights and analytics solutions.

The company is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. By transforming large volumes of data into actionable insights, it enables enterprises to improve audience engagement, measure the effectiveness of their initiatives, and enhance decision-making. The company works with a diverse range of customers, supporting them in navigating an increasingly data-driven and rapidly evolving digital landscape.

The project is focused on developing a large-scale media intelligence platform that analyzes consumer attention and engagement across multiple screens in real time. It leverages consented data to provide audience insights, measurement, and analytics solutions for the media and advertising industries.

Responsibilities

• Owning analytical projects end to end – from an ambiguous stakeholder question through scoping and analysis to a recommendation the business can act on, not raw output.
• Analyzing complex, large-scale datasets to identify meaningful trends in viewership and audience behavior, and quantify what they are worth commercially.
• Documenting your methodology and assumptions clearly, so results are reproducible and can be challenged.
• Measuring and reporting data coverage, consistency, and quality across viewership, web, and third-party entity data, and escalate material gaps to data science and data engineering.
• Bringing persistence and curiosity to new and sometimes messy datasets, and say clearly when the data can't support the question being asked.
• Defining and maintaining the product and business metrics for audiences with cross-functional stakeholders, and hold the line on their definitions so everyone is measuring the same thing.
• Supporting experiment design and read-out for segment and targeting changes, and interpret results with appropriate caution about what is signal and what is noise.
• Building and maintaining dashboards that let stakeholders answer routine questions themselves, and retire the ones no one uses.
• Writing production-quality, well-documented SQL and Python for recurring analyses, versioned in Git and reviewed like any other code.
• Communicating data-driven results and recommendations clearly to both technical and non-technical audiences, including commercial teams and senior stakeholders.
• Collaborating cross-functionally with Data Science, Data Engineering, Product, and commercial stakeholders – translate business questions into analytical specifications and partner on the data models that support them.
• Participating in cross-functional design reviews and working groups.

Requirements

• Bachelor's degree required in a quantitative field – Mathematics, Statistics, Computer Science, Economics, or similar; or equivalent practical experience.
• Professional experience in an analytics, insights, or product-analytics role, with demonstrated ability to own analytical projects independently for 3+ years.
• Advanced SQL for extraction, transformation, and analysis of large datasets – comfortable with window functions, complex joins, and query optimization.
• Comfortable querying and aggregating billion-row datasets in a distributed engine (Spark/Databricks or equivalent).
• Strong Python for statistical analysis of large datasets, with clean, documented, reproducible code.
• Solid command of applied statistics – distributions, sampling, hypothesis testing, and the judgment to know when a difference is real and when an estimate is trustworthy.
• Proven experience building data visualizations and dashboards that tell a compelling story to audiences with varying levels of technical depth..
• Git and collaborative code review practices.
• Level of English – from Upper-Intermediate and above.

Desired skills

• Experience with A/B testing or incrementality measurement in a marketing or media context.
• Familiarity with knowledge graphs, taxonomies, or entity/product hierarchies, and the analytical problems they create.
• Modern analytics engineering practice – dbt, semantic layers, or data modeling for self-serve analytics.
• Exposure to ML concepts – propensity, lookalike, or classification models – enough to collaborate credibly with data scientists.
• Working knowledge of privacy-preserving data practices and the constraints they place on audience data (GDPR, consent, data clean rooms).
• Familiarity with the TV measurement and vendor landscape (Nielsen, Comscore, iSpot, TiVo, Kinetiq).
• Effective use of AI assistants as part of your normal analytical workflow.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!

Локації

Poland, Portugal, The Netherlands