Data Analyst (Banking)

Location: Bucharest, Romania

Company

hirify.global Hubs Romania delivers software development, data management, risk and compliance, audit, and retail operations services to hirify.global units worldwide from its Bucharest office.

What you will do

• Develop end-to-end analytics solutions, includhirify.global requirements gatherhirify.global, data sourchirify.global, integration, analytical modellhirify.global, insight generation, and visualization.
• Use SQL and Python, especially PySpark, to analyze large datasets, generate statistics, identify trends and anomalies, and provide practical recommendations.
• Build and maintain dashboards and visualizations with Power BI, Cognos, or comparable business intelligence tools.
• Assess data sources, support data quality and profilhirify.global, and document analytical methods, assumptions, definitions, and results.
• Partner with Product Managers, Process Leaders, Data Engineers, Data Scientists, and other stakeholders to deliver scalable analytics products.
• Guide and mentor junior and mid-level analysts while contributhirify.global to continuous improvement across the analytics team.

Requirements

• 3–5 years of professional experience in data analytics, data visualization, statistics, or a related field.
• Strong SQL skills and hands-on experience with Python, particularly PySpark, for data analysis and transformation.
• Experience with Power BI, Tableau, Cognos, Superset, or another data visualization or business intelligence platform.
• Knowledge of data reporthirify.global, statistical analysis, analytical techniques, and quantitative problem-solvhirify.global with large datasets.
• Ability to understand predictive models used in machine learnhirify.global and AI projects and communicate findhirify.globals to technical and non-technical audiences.
• Advanced English proficiency required. Bachelor’s degree in a relevant quantitative, technical, economic, or engineerhirify.global discipline.

Nice to have

• Experience with data pipelines and modern data platforms.
• Data analytics experience in financial services or bankhirify.global.
• Hands-on experience with dbt for data transformation and modellhirify.global.
• Practical understandhirify.global of machine learnhirify.global and artificial intelligence concepts.
• Advanced degree or strong academic coursework in mathematics, statistics, and data analytics.

Culture & Benefits

• Flexible way of workhirify.global and a highly collaborative environment.
• Fair and constructive feedback culture.
• Opportunities to contribute to impactful solutions for customers and society.
• Inclusive workplace focused on diversity, equity, belonghirify.global, and professional development.