Senior Data Analyst – Wholesale Banking & Advanced Analytics
ING Hubs Türkiye
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Benefits offered by this job
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
Tools
Job description
At ING, data is at the heart of how we serve clients, manage risk, and drive business decisions.
As part of Wholesale Banking Advanced Analytics, you'll work with large-scale datasets, modern analytics platforms, and international stakeholders to deliver insights that improve operational efficiency, support strategic decision-making, and enhance client experiences across ING's global banking network.
This role combines business understanding, analytical expertise, and modern data tooling to transform complex data into actionable outcomes.
You’ll work closely with Product Managers, Tribes, Process Leaders, Data Engineers, and Data Scientists to identify opportunities, solve business problems, and deliver scalable analytical products.
Your analysis will support critical Wholesale Banking processes and help stakeholders make better, faster, and more informed decisions.
Unlike traditional reporting-focused analyst roles, you’ll own the journey from business question to analytical solution, collaborating across multiple teams and domains while contributing to ING's broader analytics strategy.
At ING Hubs Türkiye, flexibility is more than a benefit- it's part of how we work.
Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.
As part of a globally distributed organization, you’ll collaborate with colleagues across multiple ING locations while contributing to AI solutions that support international banking operations.
You will:
- 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.
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
We're looking for someone who combines strong analytical capabilities with business curiosity and a passion for turning data into impact.
You likely bring:
- 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.
Experience with dbt, modern data platforms, financial services, banking analytics, or data pipelines will be considered an advantage.
Successful candidates combine technical depth with business understanding, communicate effectively with both technical and non-technical stakeholders, and continuously seek opportunities to improve how decisions are made through data.
This role offers the opportunity to work at the intersection of:
- Wholesale Banking
- Advanced Analytics
- Business Intelligence
- Modern Data Platforms
- Machine Learning & AI Exposure
You'll collaborate with ING's international analytics community while developing expertise in large-scale analytical solutions that support business-critical decisions.
Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.
At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.
Be Yourself, Be an ING'er
- Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
- Career Opportunities: Self-driven career paths and international opportunities
- Personal Growth: Challenging work and continuous development
- Dynamic Environment: Informal, vibrant, and collaborative culture
- Innovation Culture: Explore and apply PACE methodology
- Global Exposure: Participate in international projects and communities
- Communication & Celebrations: Various communication activities and celebrations
- Health Care: Comprehensive private health insurance for you and your family
- Private Pension Plan
- Meal Card
- Transportation Allowance
- MultiSport Membership
- English Language Development Support
- Remote working opportunities throughout August
With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.
Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?
Then there is no better place to invest your talents than at ING.
Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.
ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and flexibility in our way of working - it is both our promise to you and what we look for in new colleagues.
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