> Markdown version of [/jobs/ext/2157723-data-analyst](https://www.wearedevelopers.com/jobs/ext/2157723-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** ING Bank N.V. - **Location:** Amsterdam, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Data Analysis, Big Data, Python (Programming Language), Power BI, Standard Sql, Tableau (Software), Web Analytics, Large Language Models - **Published:** August 21, 2026 - **Apply:** https://www.careerjet.nl/job/nl60e2d2b9d795f888edfdf9fdb465a1d7/eaa ## About the Role 3+ years of experience in analytics, customer insights, business intelligence, digital analytics, or a related field. Strong analytical skills, with the ability to translate complex data into clear recommendations and business impact. Experience with customer experience metrics and research data, such as NPS, CSAT, customer journey insights, surveys, or usability research. Experience analysing customer attributes and digital behavioural data across app and web channels. The ability to create quantitative customer profiles, segments, and journey insights that support product and design decisions. Excellent SQL skills and experience working with large and complex datasets. Experience with reporting and visualisation tools such as Power BI, Tableau, or similar platforms. Strong communication and stakeholder management skills, with the ability to collaborate with CX experts, UX researchers, and business stakeholders to connect quantitative and qualitative insights. Experience with Adobe Analytics or similar digital analytics tools, Python, automation, or financial services are considered a strong plus. Diverse perspectives fuel innovation and growth. Even if you don't meet every requirement, your unique skills could make a difference. If you bring a fresh perspective, we want to hear from you. Together, we create better solutions for our customers. ## Description As a Data Analyst, you will be responsible for delivering high-quality insights and reporting that support product teams, customer journey experts, and senior management. You enjoy working with complex datasets, translating findings into clear recommendations, and continuously improving the way customer experience data is collected, analysed, and shared. The team The Experience Design team combines customer research, customer experience measurement, analytics, and innovation to help ING better understand customer needs and behaviours. As part of the CoE Customer Experience & Trust, the team strengthens customer experience steering, reporting, and decision-making across the organisation. You will work closely with Customer Journey Experts, UX professionals, researchers, analysts, and business stakeholders across ING to ensure customer insights are translated into meaningful actions. Roles and responsibilities As a Data Analyst in the Experience Design team, you: Deliver customer experience data and reporting, including Bain data deliveries, stakeholder reporting, and data exports. Own CSAT and NPS reporting and analyses, ensuring stakeholders have timely and actionable insights into customer satisfaction trends. Perform customer, segment, and journey analyses, including key episode, Toluna, Gen Z, and Affluent segment deep-dives. Provide ad hoc analyses for senior management, translating complex findings into clear recommendations. Maintain and further develop the Daily Newsletter, ensuring customer experience insights are communicated effectively across the organisation. Create, maintain, and enhance the CX Dashboard, enabling data-driven decision-making across teams. Maintain and continuously improve the CX Analytics Portal, increasing accessibility and usability of customer experience insights. Set up and manage NPS and CSAT surveys, ensuring data quality and consistency across measurement programmes. Support the LLM/NPS programme through advanced analytics, automation, and innovation, helping scale customer insight generation and reporting. Translate complex data into compelling stories and recommendations for stakeholders at different levels of the organisation. How to succeed We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. 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