Data Analyst

Correctcontext; Wrocław; On-site; PLN 66,960 - 89,280; Full time

Benefits offered by this job

Private healthcare

Flexible work time

Multikafeteria

Free parking

Job summary

Correctcontext is hiring a Data Analyst in Wrocław, Poland, to enhance data clarity and facilitate smoother workflows. You will join a small team, contributing to impactful data-driven decisions.

Key responsibilities include data analysis in Excel, SQL exploration, and Python for task automation. We seek candidates with strong Excel, SQL, and communication skills. The role offers fully remote or hybrid options, with a salary range of 6,000 - 8,000 PLN net/month and perks such as private healthcare and flexible hours.

Qualifications

• Good Excel skills and comfort working with structured data.
• Familiarity with SQL and a willingness to improve.
• Familiarity with Python or openness to using it.
• Methodical approach to analysis checking details.
• Persistence when faced with complex datasets.
• Good communication skills in English.

Responsibilities

• Work with data in Excel and support analysis/reporting.
• Use SQL to explore and validate data.
• Employ Python to automate or simplify tasks.
• Improve existing workflows and maintenance.
• Collaborate with a Data Analysis team.

Skills

Excel skills

SQL familiarity

Python familiarity

Analytical mindset

Good communication skills in English

Job description

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:

1. Technical survey ~ 10min
2. Technical screening - 30 min
3. Technical interview - 30-45 (depending on your experience and how fast we can go through some things)
4. Interview with manager - ~30 min