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Operation Data Insights Senior Data Analyst

ING Türkiye
Posted 5 hours ago
TurkeyHybridData & Analytics
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There has never been a more interesting time to work at ING. We’re on a journey that’s centred around our customers, powered by technology and driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We’re proud of that!

At ING, you get the chance to work in a highly dynamic culture and international environment that fosters innovation and personal growth. ING also provides comfort and convenience for employees’ needs and for their work-life balance with flexible working hours, hybrid working opportunities, and a casual dress code at our headquarters.

If you join our team as “Senior Data Analyst”, you will play a critical role in transforming data into actionable insights that drive business decisions and operational excellence. Working closely with cross-functional teams, you will leverage advanced analytical techniques, develop impactful reporting solutions, and contribute to strategic initiatives that create measurable business value. This role offers the opportunity to influence decision-making at all levels of the organization while continuously developing your technical and analytical capabilities.

If you think you have the following qualifications;

  • Bachelor’s degree in Engineering, Mathematics, Statistics, Economics, Business Administration, Computer Science, or a related field
  • Master's degree is a plus
  • Minimum 5 years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles
  • Strong proficiency in SQL for data extraction, manipulation, and analysis
  • Experience with data visualization and reporting tools such as Cognos, Power BI, Tableau, or similar platforms
  • Strong analytical thinking and problem-solving capabilities with the ability to translate data into meaningful insights
  • Experience in designing, developing, and maintaining dashboards and performance monitoring reports
  • Knowledge of Python, SAS, or similar analytical programming languages is a plus
  • Understanding of data warehousing concepts and large-scale data environments
  • Experience working with cross-functional stakeholders to define analytical requirements and deliver business solutions
  • Deep understanding of operational procedures, package-query structures, and underlying data flows, with proven experience in designing datamarts, translating business processes into analytical solutions, and optimizing end-to-end reporting architectures


  • Strong presentation and storytelling skills with the ability to communicate complex findings to both technical and non-technical audiences
  • Experience in identifying trends, risks, opportunities, and business performance drivers through data analysis
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment
  • Proactive, result-oriented, and collaborative mindset
  • Excellent written and verbal communication skills in English
  • Banking, financial services, or customer analytics experience is a plus

If you think you may take charge of the following responsibilities;

  • Analyze large and complex datasets to identify trends, opportunities, and business insights
  • Develop, maintain, and enhance management dashboards, reports, and analytical models
  • Transform data into actionable recommendations that support strategic and operational decision-making
  • Collaborate with business units, operations, technology, and other stakeholders to understand analytical needs and deliver data-driven solutions
  • Monitor key performance indicators and provide proactive insights into business performance
  • Conduct ad-hoc analyses and deep-dive investigations to support business priorities and emerging needs
  • Ensure data accuracy, consistency, and quality across reporting and analytics processes
  • Present analytical findings and recommendations to senior management through clear and compelling storytelling
  • Support process improvement initiatives by identifying inefficiencies and opportunities through data analysis
  • Contribute to the development of advanced analytics capabilities and best practices within the organization
  • Participate in strategic transformation initiatives by providing data-driven insights and performance measurement frameworks
  • Foster a culture of continuous improvement, innovation, and fact-based decision-making

You may very well be the one we are looking for.

“Jump on” and don’t miss this opportunity!

You First Become Your True Self, Then an INGer:

Flexible and hybrid working models, including remote working opportunities and programs that support a healthy work-life balance. Enjoy a culture that values trust, flexibility, and employee well-being.

Continuous Growth and Development:

  • Access to global and local learning opportunities through ING Academy, LearnUp, and certification programs with leading institutions
  • Opportunities to contribute to innovative local and global projects while advancing personally and professionally
  • Career opportunities, internal mobility programs, and international assignments designed to broaden your expertise and expand your professional network

A Dynamic and Supportive Work Environment:

  • An informal and collaborative culture where your ideas and innovations are valued
  • Agile ways of working that encourage teamwork, ownership, and continuous learning
  • Social clubs, celebrations, and events to help you balance work and fun

We Care About You:

  • Comprehensive health insurance for you and your loved ones
  • Private pension plans to help you achieve your future goals
  • On-site amenities and employee benefits designed to simplify your daily life and support your well-being


At ING, we’re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.


For more information about our Orange Culture, click here now:

https://www.youtube.com/watch?v=AHJ-yC43Tnc


If you want to do your thing and explore the life while working don’t miss this opportunity!


Candidates are expected not to share any sensitive personal data.

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