Data Analyst: Cross-Buy & Digital Growth Insights

ING

Amsterdam

On-site

EUR 60,000 - 90,000

Full time

6 days ago

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Benefits offered by this job

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Job summary

ING is seeking a Data Analyst for the Cross Buy team in Amsterdam. You will transform customer data into actionable insights to drive commercial growth, improve digital interactions, and enhance cross-buy propositions across Investments, Insurance, and Loans.

You will collaborate with Product Owners, Marketing, Data Engineers, and stakeholders to measure, optimize campaigns and journeys, and create robust dashboards and reporting frameworks.

Qualifications

At least five years of data analytics, digital analytics, business intelligence, marketing analytics, or a related field.
Experience from digital products, e-commerce, financial services, or customer-focused environment.
Proven track record in customer analytics and commercial performance measurement.
Advanced SQL skills and experience with large customer-level datasets.
Experience with BI tools (Power BI, Tableau, Looker).
Familiarity with Adobe Analytics, Google Analytics, Contentsquare, or similar platforms.
Understanding attribution, experimentation, AB testing, and measurement frameworks.
Ability to translate business questions into analytical hypotheses and practical recommendations.

Responsibilities

Analyze customer behavior across digital journeys and interaction channels.
Identify opportunities to improve engagement, conversion, and cross-product adoption.
Develop insights into customer segments, audiences, triggers, and behavioral patterns.
Measure and optimize cross-buy campaigns, always-on activities, and customer interaction strategies.
Monitor funnel performance from audience selection through conversion.
Evaluate campaign effectiveness, incrementality, attribution, and customer response.
Support experimentation and A/B testing to improve journeys and propositions.
Translate business questions into analytical hypotheses, quantitative business cases, and practical recommendations.
Advise Product Owners and leadership on priorities using data and evidence.
Develop and maintain dashboards, performance reports, and measurement frameworks.
Improve reporting automation and self-service analytics capabilities.
Present findings clearly and persuasively to operational teams and senior management.

Skills

Advanced SQL

Power BI

Tableau

Looker

Adobe Analytics

Google Analytics

Contentsquare

A/B testing

Data storytelling

Tools