Senior Data Analyst, Cross-Buy Analytics & Growth

ING Hubs Türkiye

Amsterdam

On-site

EUR 70,000 - 110,000

Full time

6 days ago
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Benefits offered by this job

Benefits package

Job summary

ING is seeking a Data Analyst for the Cross Buy team in Digital Sales. You will turn customer data into actionable insights that grow commercial performance across investments, insurance and loans, optimizing campaigns and digital interactions.

You will partner with Product Owners, Marketing and Data Engineers to translate business questions into analytical hypotheses, build dashboards, and deliver measurements that drive personalization, channel optimization and revenue growth.

Qualifications

  • Five+ years of experience in data analytics, digital analytics, or BI.
  • Proven track record in customer analytics and commercial performance measurement.
  • Advanced SQL skills and experience with large customer datasets.
  • Experience with Power BI, Tableau, Looker or similar BI tools.
  • Familiarity with Adobe Analytics, Google Analytics, Contentsquare or similar platforms.

Responsibilities

  • Challenge assumptions, translate data into clear recommendations.
  • Analyze customer behavior across digital journeys and channels.
  • Identify opportunities to improve engagement, conversion, and cross-product adoption.
  • Develop insights into segments, audiences, triggers, and patterns.
  • Measure and optimize campaigns, and support experimentation and A/B testing.
  • Develop dashboards, reports, and measurement frameworks.

Skills

SQL
Power BI
Tableau
Looker
Adobe Analytics
Google Analytics
Contentsquare
A/B testing
Data visualization

Tools

SQL
Power BI
Tableau
Looker

Job description

ING is seeking a Data Analyst for the Cross Buy team in Digital Sales. You will turn customer data into actionable insights that grow commercial performance across investments, insurance and loans, optimizing campaigns and digital interactions.

You will partner with Product Owners, Marketing and Data Engineers to translate business questions into analytical hypotheses, build dashboards, and deliver measurements that drive personalization, channel optimization and revenue growth.

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