Part-Time Data Analyst / BI Analyst

20+ hours per week | Contractor

About the Role

We are looking for an analytically minded university student who wants to apply statistics, SQL, and Python to real business questions.

The role is particularly suitable for students of mathematics, statistics, computer science, data analytics, or a related field at Masaryk University. Students from other universities are also welcome to apply.

No extensive professional experience is required. We are looking for strong analytical thinking, a willingness to learn, and availability of at least 20 hours per week.

About Us

Newsmatics is a privately held global News Tech company headquartered in Washington, D.C. We build platforms for media monitoring, analytics, news distribution, and news transparency. Our brands include EIN Presswire, Affinity Group Publishing, Newsmatics News Index, and Perspectify.

We collect and structure large volumes of global news and publisher data. Our international remote-first team values autonomy, curiosity, accountability, and measurable impact.

What You Will Do

• Analyze business and customer data.
• Use SQL to explore internal data and identify unexpected trends.
• Build analytical dashboards in Tableau.
• Automate recurring data tasks using Python.
• Prepare reports and presentations for management.
• Evaluate marketing campaigns and investigate performance changes.
• Calculate customer lifetime value, prepare revenue forecasts, and analyze key business metrics.
  
  

What We Expect

• You are studying a quantitative field such as mathematics, statistics, computer science, or data analytics.
• You understand the fundamentals of statistics.
• You have basic knowledge of SQL and Python from coursework, personal projects, or previous experience.
• You enjoy working with data and investigating unexpected results.
• You can communicate your findings clearly in English.

Experience with Tableau, BigQuery, or GA4 is an advantage, but not required.

What We Offer

• Long-term, part-time contractor cooperation.
• Flexibility around your studies and remote work.
• Hands-on experience with real business data and analytical tools.
• Guidance from experienced colleagues in an international team.
• The opportunity to develop your skills and gradually take on more responsibility.

How to Apply

Send us your CV in English and briefly describe a university, personal, or work project in which you used data to solve a problem.