ING Bank
Financial Services
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at ING Bank. Skills: Data analysis, Business intelligence, Data visualization. Gather large datasets. Prepare large datasets”
What You'll Achieve.
Deliver measurable business value; Enhance customer understanding; Optimize campaigns
Industry & Context.
Interpret complex data; Spot trends; Generate actionable recommendations
What They're Looking For.
Must Have
University degree in Mathematics, Statistics, Economics, Marketing, Cybernetics, or a related field, Solid experience in data analysis, Proficiency with data tools such as SAS, SQL, Python, Experience creating dashboards, Experience creating campaign analyses, Experience creating product analyses, Experience with data validation
Nice to Have
Experience in banking or financial services, Experience with BI platforms (Power BI)
What You'll Do.
Gather large datasets
Prepare large datasets
Analyse large datasets
Deliver robust insights
Develop analytical datasets
Maintain analytical datasets
Collaborate with stakeholders
Collaborate with senior analysts
Identify opportunities
Design campaign analysis
Execute campaign analysis
Design product evaluations
Execute product evaluations
Coach junior analysts
Mentor junior analysts
Promote best practices
Act as main point of contact
Maintain alignment on definitions
Maintain alignment on data structures
Maintain alignment on objectives
Conduct deep-dive analyses
Identify business drivers
Enhance customer understanding
Perform quality checks
Support development of advanced analytical frameworks
Drive process optimization
Ensure reusability of scripts
Ensure reusability of methodologies
Provide support across Customer Intelligence
How You'll Work.
Team & Collaboration
Analytics peers; Pricing & Value Leads; Business stakeholders; Cross-functional projects; Data Scientists; Data Engineers
Communication Scope
Translate technical insights; Build partnerships
Process & Methodology
Agile Way of Working
Full Job Description
**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. **About the 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. **Your day-to-day** 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 unders
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