BI Data Analyst

2 weeks ago

Belgrade, Central Serbia Silver Bell Group Full time €40,000 - €80,000 per year
Your Responsibilities

  • Transforming data into strategy – You will analyze complex datasets and extract actionable insights that help teams make informed decisions.

  • Bridging IT and business – You will communicate analytical findings clearly and simply to colleagues from various departments, ensuring data becomes a valuable and practical asset in daily business decision-making.

  • Advanced analytics in practice – You will develop and apply advanced statistical models such as A/B testing, uplift analysis, regression models, and more.

  • Thinking outside the box – You will actively identify business opportunities where data can address specific challenges or validate new ideas.

  • Driving innovation through data – You will experiment with new data sources and analytical approaches to generate additional business value.

What We're Looking For

  • A university degree in Statistics, Economics, Mathematics, Computer Science, or a related analytical discipline.

  • Several years of experience in data analysis, ideally in direct marketing; retail knowledge is a plus.

  • Strong SQL skills and experience working with cloud-based databases (e.g., BigQuery or similar).

  • Proficiency in data visualization and dashboard tools such as Power BI, Tableau, or Looker.

  • Experience with statistical libraries such as pandas, scikit-learn, and statsmodels.

  • Ability to explain complex findings in a clear and persuasive manner.

  • An analytical mindset and curiosity — constantly seeking better solutions and additional value from data.

  • Excellent English communication skills in a business context (German is a plus).

Preferred Qualifications

  • Experience working with cross-functional teams and end-users.

  • Advanced knowledge of analytical techniques, including A/B testing and predictive modeling.

  • Familiarity with Looker Studio and LookML.

  • Strong motivation to have a direct impact on business outcomes through data-driven work.


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