Senior Data Analytics Lead, Wholesale Banking & AI

ING Hubs Türkiye; Fatih; Hybrid; TRY 350,000 - 550,000; Full time

Benefits offered by this job

Welcome Leave: 14 days

Career opportunities

Personal growth

Dynamic environment

Innovation culture

Global exposure

Communication & celebrations

Private health insurance

Private pension plan

Meal card

Transportation allowance

MultiSport membership

English language development support

Remote working August

Job summary

ING Hubs Türkiye is seeking a data analytics professional to transform complex data into actionable insights across Wholesale Banking. You will work with product managers, data engineers, and data scientists to deliver scalable analytical products and dashboards.

You’ll apply SQL, Python, and PySpark to identify trends, support AI initiatives, and improve decision making. A hybrid workflow combines office collaboration in Vadistanbul with remote flexibility across projects.

Qualifications

• 4-6 years of experience in data analytics, reporting, statistics, or a 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.

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

Analytical thinking

Communication

Stakeholder management

Business curiosity

English proficiency

Tools

SQL

Python

PySpark

Power BI

Tableau

Cognos

Superset

dbt

Job description

ING Hubs Türkiye is seeking a data analytics professional to transform complex data into actionable insights across Wholesale Banking. You will work with product managers, data engineers, and data scientists to deliver scalable analytical products and dashboards.

You’ll apply SQL, Python, and PySpark to identify trends, support AI initiatives, and improve decision making. A hybrid workflow combines office collaboration in Vadistanbul with remote flexibility across projects.