Data Analyst - Analytics @ ING Bank

About the role

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 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. What you bring to the team: 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.