Correct Context is looking for a Data Analyst for Comscore in Poland and around. We are looking for a methodical, persistent analyst who enjoys making data clearer, workflows smoother, and everyday reporting more reliable. You will join a small Data Analysis team where your work can have visible impact and where there is room to improve how things are done. Comscore is a global leader in media analytics, revolutionizing insights into consumer behavior, media consumption, and digital engagement. Comscore leads in measuring and analyzing audiences across diverse digital platforms. Thrive on using data and technology, play a role in delivering accurate insights to global businesses, and contribute to work used across media, advertising, e-commerce, and technology sectors.

We offer

Real big data projects 🚀 An international team (US, PL, IE, CL) 🌎 A small, independent team working environment 🧑‍💻 High influence on working environment Hands on environment Flexible work time ⏰ Fully remote or in-office work in Wroclaw, Poland 🏢 6,000 - 8,000 PLN net/month B2B or UZ 💰 Private healthcare 🏥 Multikafeteria 🍽️ Free parking 🚗 As a Data Analyst, you'll: Work with data in Excel and support regular analysis and reporting needs Use SQL to explore, validate, and prepare data for analysis Use Python when it helps automate or simplify analytical work Look for ways to improve existing workflows and make recurring work easier to maintain Work closely with a small Data Analysis team and contribute to practical, data-driven decisions The candidate must have: Good Excel skills and comfort working with structured data Familiarity with SQL and a willingness to keep developing it in day-to-day analytical work Familiarity with Python or openness to using it for simple data tasks and workflow improvements A methodical approach to analysis, checking details, and following data through to a reliable answer Persistence when a dataset, report, or process needs careful untangling Good communication skills in English to work effectively in an international environment Nice to have: Experience improving reporting processes, recurring spreadsheets, or analytical workflows Experience with media, advertising, digital products, or audience measurement data Experience turning messy or incomplete data into practical business insight If you don't have all the qualifications, but you think there is a match, let's talk. Curiosity, persistence, and a careful analytical mindset matter a lot in this role. The recruitment process for the Data Analyst position has the following steps: Technical survey ~ 10min Technical screening - 30 min Technical interview - 30-45 (depending on your experience and how fast we can go through some things) Interview with manager - ~30 min