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Analytics Engineer – Hybrid (Belgrade)

Hyperoptic · Belgrade

Hybrid 🇬🇧 English
SQL Python Tableau Power BI Excel MS Office relational databases data pipelines machine learning data visualization automation

Description du poste

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

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Hyperoptic

Belgrade