Data Analyst – Business Intelligence | Retail Banking @ Bank
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Mission
At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Our Analytics capabilities stand at the heart of that mission — powering decisions that shape products, protect customers, and help millions stay a step ahead in life and business. If you’re passionate about turning data into actionable insights that drive business growth, you’ll feel right at home here.
Aboutthe team
You’ll join a deeply analytical team within Retail Banking, focused on turning complex data into clear, actionable insights
. The team partners closely with business stakeholders to uncover hidden patterns, support data‑driven decision‑making, and enable leaders to maximize impact. You will work closely with Analytics peers and the Pricing & Value Leads on in‑depth and advanced analytics initiatives; the environment is collaborative, insight‑driven, and geared toward delivering measurable business value through rigorous analysis and thoughtful interpretation.
As a Data Analyst in an Agile Way of Working, you will be a part of a Squad and will dedicate your time and efforts to achieve the tribe/ squad’s purpose through:
In this role, you will:
- Gather, prepare, and analyse large datasets to deliver robust insights supporting business strategies across customer, marketing, and digital channels.
- Develop and maintain dashboards, reports, and analytical datasets tailored to business needs, ensuring accuracy and clarity in all outputs.
- Collaborate with stakeholders and senior analysts to identify opportunities, design and execute segmentation, campaign analysis, and product evaluations.
- Coach and mentor junior analysts, promoting best practices within the team.
- Act as main point of contact for cross‑functional projects, maintaining alignment on definitions, data structures, and objectives.
- Conduct deep‑dive analyses to identify business drivers, proactively recommending actions to enhance customer understanding and optimize campaigns.
- Document dashboards, metrics, and models, performing regular quality checks to ensure data integrity.
- Support development of advanced analytical frameworks in partnership with Data Scientists and Data Engineers.
- Drive process optimization by ensuring reusability of scripts and methodologies and provide support across Customer Intelligence as needed.
- Education & Experience:
University degree in Mathematics, Statistics, Economics, Marketing, Cybernetics, or a related field. Solid experience in data analysis, ideally in banking or financial services. - Technical
Skills:
Proficiency with data tools such as SAS, SQL, Python, and BI platforms (Power BI). Experience creating dashboards, campaign and product analyses, and data validation. - Analytical Mindset:
Able to interpret complex data, spot trends, and generate actionable recommendations. - Collaboration & Communication:
Strong communication skills; able to translate technical insights for non‑technical audiences, building partnerships across teams. - Continuous Learning:
Embraces new tools and methodologies. - Innovation:
Seeks new ways to solve challenges and add value. - Personal Attributes:
Ambitious, proactive, team‑oriented, detail‑focused, and adaptable.
- Impactful work in a fun, inclusive and highly collaborative environment.
- Modern, open office spaces built for teamwork and creative work.
- Hybrid working model with flexibility baked in.
- Monthly benefit budget you can use your way.
- Extra paid vacation days based on total work experience.
- Continuous learning opportunities through ING Learning Centre, Udemy, Bookster, trainings and certifications.
- Internal mobility across ING worldwide, including short‑and long‑term international assignments.
- Opportunities to contribute to sustainability and CSR initiatives.
We’re seeing an increase in fraudulent job offers. To protect yourself, please:
- Apply only via official ING platforms
. ING uses Workday as its recruitment system. - Verify the sender’s email — it should only come from or .
- Know that ING will never request payments or banking details during the recruitment process.
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