Data Analyst | Wholesale Banking Advanced Analytics @ING Hubs Romania

Role Overview

The Data Analyst is accountable for delivering analytics and insights that generate measurable improvements in operational efficiency and customer experience. The role owns the end-to-end development of analytics solutions from requirements gathering and data sourcing through data integration, analytical modelling, insight generation, and data visualization.

What You Will Do

Use SQL and Python (Pyspark) to analyze large and complex datasets, produce reports, and generate statistics that support business decisions. Identify trends, patterns, anomalies, and opportunities, and translate findings into practical recommendations.

Why It Might Be a Fit

The Data Analyst translates business priorities into data-driven opportunities and supports the execution of optimization strategies for business decision-making. The role brings together business context, analytical expertise, and clear communication to deliver reliable, scalable, and actionable analytics products in collaboration with Data Engineers, Data Scientists, and other stakeholders.

Requirements

• 3 -5 years of professional experience in data analytics, data visualization, statistics, or a related field.
• Strong SQL skills and hands-on experience using Python, especially PySpark, for data analysis and transformation.
• Experience with a data visualization or business intelligence platform such as Power BI, Tableau, Cognos, or Superset.
• Sound knowledge of data reporting, statistical analysis, and standard analytical techniques.
• Ability to work effectively with large datasets and apply analytical, statistical, and quantitative problem-solving skills.
• Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.
• Ability to understand predictive models used in machine learning and AI projects.

Benefits

• Flexible way of working
• Highly collaborative environment
• Fair and constructive feedback encouraged
• Impactful work with a shared desire to make the world a better place

Tagged as: Data Analysis