Data Strategy Oversight Analyst

ING Hubs Poland; Województwo mazowieckie; On-site; PLN 79,000 - 162,000; Full time

Job summary

ING Hubs Poland is seeking a data analytics professional to collaborate with stakeholders across functions and locations to solve data-related challenges. You will take ownership of initiatives from requirements through implementation and monitoring, with a focus on data governance and risk management.

The role requires strong Excel/PowerPoint/Word skills, a proactive mindset, and the ability to translate analytical findings into actionable business insights while ensuring regulatory impact

Qualifications

• Minimum 3 years of experience in data analytics, data governance, data quality, risk management, or similar analytical roles.
• Advanced proficiency in Microsoft Excel, PowerPoint, and Word.
• Strong stakeholder management and cross-functional collaboration skills.
• Ability to gather requirements, design analyses, and translate results into actionable insights.

Responsibilities

• Analyze data quality results to identify trends, risks, and improvement opportunities.
• Translate analytical findings into business insights and recommendations.
• Coordinate cross-functional activities and align stakeholders, requirements, and deliverables.
• Prepare reports and presentations using Microsoft Office tools.
• Track progress, risks, and actions; document methodologies and decisions.
• Maintain relationships with stakeholders across the organization.

Skills

Data analytics

Stakeholder management

Project coordination

Regulatory awareness

Tools

Excel

PowerPoint

Word

Job description

ING Hubs Poland is hiring! The expected salary for this position: 7100 - 14 500 PLN gross.

ING Hubs Poland is hiring! The expected salary for this position: 7100 - 14 500 PLN gross.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We Are Looking For You If You

• Enjoy working with stakeholders from different functions and locations to solve complex data-related challenges.
• Can take ownership of initiatives and manage projects end-to-end from requirements gathering through implementation and monitoring.
• Have strong stakeholder management skills and can successfully navigate environments with multiple priorities and interests.
• Have at least 3 years of experience in data analytics, data governance, data quality, risk management, or similar analytical roles.
• Have advanced proficiency in Microsoft Excel, PowerPoint, and Word and can use them effectively for analysis, reporting, communication, and project management.
• Can interpret analytical results and understand their business and regulatory impact.
• Have a critical mindset and continuously challenge whether processes, controls, and ways of working can be improved.
• Demonstrate ownership, accountability, and a proactive attitude.
• Are eager to learn, develop new skills, broaden your knowledge, and continuously improve yourself and the organization.

You Will Get Extra Points For

• Having experience working in a bank, financial institution, or other highly regulated environment.
• Having knowledge of credit risk modelling concepts such as PD, LGD, EAD, IRB, and IFRS9.
• Having experience with Data Quality, Data Governance, or BCBS239-related initiatives.
• Having experience leading cross-functional projects and coordinating complex stakeholder landscapes.
• Having experience building management reporting, dashboards, or executive-level presentations.
• Having worked in an Agile environment and actively contribute to continuous improvement initiatives.

Your Responsibilities

• Analyze data quality results and identify trends, root causes, risks, and improvement opportunities.
• Interpret analytical findings and translate them into meaningful business insights and actionable recommendations.
• Coordinate cross-functional activities and ensure alignment between stakeholders, requirements, and deliverables.
• Gather, challenge, and align business and regulatory requirements with relevant stakeholders.
• Facilitate discussions, drive decisions, and ensure alignment across cross-functional teams.
• Prepare high-quality reports, presentations, and decision materials using Microsoft Office tools.
• Ensure timely communication and reporting to stakeholders.
• Track project progress, dependencies, risks, actions, and deliverables.
• Document methodologies, governance processes, requirements, decisions, and outcomes.
• Continuously challenge existing processes and identify opportunities for improvement and simplification.
• Build and maintain strong working relationships with stakeholders across the organization.

Information About The Team

Credit Risk Model Development is an international, global team (more than 400 risk experts) located in different locations in Europe (e.g., Amsterdam, Milan, Warsaw). The key responsibility is development of robust credit risk models firmly embedded in the regulatory environment. The role naming convention in the global ING job architecture will be "Data Scientist II”。