LOOKING FOR AN EXCITING CHALLENGE?

Mrge is an intelligent platform for commerce advertising, connecting over 5,500 publishers and 55,000 advertisers across 160+ countries. It integrates advanced tools and technologies to bring ads closer to content, creating value for publishers, advertisers, and users. The company combines five leading entities: digidip (premium publishers), MaxBounty (direct partnerships), shopping24 (product recommendations), SourceKnowledge (CPC platform), and Yieldkit (high reach and performance). This collaborative approach enhances advertising effectiveness across various channels and markets.
We’re looking for a talented and detail-oriented Data Analyst to join our growing team at mrge. In this role, you’ll be instrumental in transforming raw data into meaningful insights that inform strategic decisions and enhance customer outcomes. Working closely with engineering, product, and business teams, you’ll refine key data models, develop impactful analyses, and help embed a data-driven culture across the organization.

ABOUT US

A global champion for Commerce Advertising with the vibrant energy of a start-up? A high-tech platform that’s fun to work with – for both employees and clients? A multi-location based company with flat hierarchies, run by an international, multilingual team? Yes, that’s us! At mrge, we connect publishers, advertisers, smart tools and formats to drive additional revenue. Now we are excited about connecting with you.
Are you ready to grow? Then join us on our mission to expand mrge and its entities digidip, shopping24 and Yieldkit through fresh ideas, great talent and true commitment. We’re looking forward to getting to know you!

• Collaborate with engineering and product teams to monitor, maintain, and optimize business metrics, proactively identifying areas for improvement.
• Design and deliver clear, concise reports and dashboards that support strategic planning and performance tracking.
• Support the development of forecasting, optimization, and predictive models to inform product and business decisions.
• Translate business needs into analytical solutions through close stakeholder collaboration.
• Provide strategic insights based on emerging trends and in-depth data analysis.
• Contribute to the evolution of our data processes, tooling, and culture as we scale.