Hybrid Senior Data Analyst – Wholesale Banking & AI Analytics

ING Wholesale Banking; Fatih; Hybrid; TRY 391,000 - 614,000; Full time

Benefits offered by this job

Health Insurance

Meal Card

Transportation Allowance

MultiSport Membership

English Language Development Support

Remote working opportunities

Job summary

ING Hubs Türkiye is hiring a data analytics professional to translate business questions into scalable analytics products across ING's Wholesale Banking network.

You will work with large datasets using SQL, Python, and PySpark, and build dashboards with Power BI, Cognos, or similar BI tools. Collaborate with Product Managers, Data Engineers, and Data Scientists to drive data-driven decisions and improve client experiences.

Qualifications

• 4-6 years of experience in data analytics, reporting, statistics, or related field.
• Strong SQL skills and hands-on experience with Python, particularly PySpark.
• Experience with data visualization and BI platforms such as Power BI, Tableau, Cognos, or Superset.
• Knowledge of statistical analysis, reporting methodologies, and quantitative problem‑solving techniques.
• Experience working with large datasets and complex data environments.
• Strong communication and stakeholder management skills.
• Ability to understand and support machine learning and AI-driven initiatives.
• Advanced English proficiency.
• Experience with dbt, modern data platforms, financial services, banking analytics, or data pipelines will be considered an advantage.

Responsibilities

• Analyze large and complex datasets using SQL, Python, and PySpark.
• Develop reporting solutions, dashboards, and visualizations using Power BI, Cognos, or similar BI platforms.
• Identify trends, patterns, anomalies, and improvement opportunities across Wholesale Banking processes.
• Translate business requirements into analytical solutions and actionable recommendations.
• Work with Data Engineers and Data Scientists to deliver scalable analytics products.
• Support data quality initiatives, profiling activities, and analytics best practices.
• Communicate analytical findings through presentations, dashboards, reports, and stakeholder discussions.
• Mentor junior analysts and contribute to knowledge sharing within the analytics community.
• Support teams working on predictive analytics, machine learning, and AI-enabled solutions through your analytical expertise.

Skills

SQL

Python

PySpark

Data visualization

Power BI

Tableau

Cognos

Superset

English communication

Tools

Power BI

Cognos

Tableau

Superset

dbt

Job description

ING Hubs Türkiye is hiring a data analytics professional to translate business questions into scalable analytics products across ING's Wholesale Banking network.

You will work with large datasets using SQL, Python, and PySpark, and build dashboards with Power BI, Cognos, or similar BI tools. Collaborate with Product Managers, Data Engineers, and Data Scientists to drive data-driven decisions and improve client experiences.