Analytics Engineer – Hybrid (Belgrade)

About the role

The Analytics Engineer is a core member of the Centralized Strategy department, turning data into actionable insights that influence high‑level strategic and operational decisions. Working in a hybrid model (three days onsite), you will lead end‑to‑end analytics initiatives, mentor junior analysts, and champion AI‑driven solutions across the business.

Key responsibilities

• Design, build, and deploy predictive and prescriptive models such as churn, segmentation, and forecasting.
• Integrate data from multiple sources, develop automated pipelines, and create reusable scripts to improve reporting speed and accuracy.
• Present analytical findings and recommendations to senior leadership, including the Executive team and Board.
• Collaborate with data engineering to ensure a scalable analytics infrastructure.
• Mentor analysts in SQL, Python, and advanced analytics techniques, and promote best practices in model governance.

Required profile

• Bachelor’s degree in a technical or finance discipline, or equivalent professional experience.
• Proven experience in advanced analytics, machine learning, and data‑driven decision making.
• Strong background with relational databases and business intelligence tools.

Required skills

• SQL
• Python
• Tableau or Power BI (certification preferred)
• Advanced Excel and MS Office suite
• Data visualization and reporting
• Machine‑learning model development and deployment
• Automation of data pipelines and workflows