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# Country Data Analyst

- **Company:** IKEA B.V.
- **Location:** AMSTERDAM ZUIDOOST, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Cloud Computing, Statistical Hypothesis Testing, Python (Programming Language), Operational Data Store, SQL Databases, Data Processing, Google Cloud, Information Technology, Data Analytics
- **Published:** July 30, 2026
- **Apply:** https://www.jobbird.com/nl/vacature/25548518-country-data-analyst

## About the Role

* Formal qualifications (BSc, MSc, PhD) in economics, statistics, mathematics, engineering, computer science, or equivalent
 * At least 3 years of professional experience as a Business Analyst, Data/Web Analyst, Data Scientist, or a similar role
 * Good knowledge of data processing for large datasets
 * Preferred: Experience with presenting to large audiences and senior stakeholders
 * Preferred: Familiarity with cloud computing environments, e.g. Amazon Web Services or Google Cloud Platform
 * Preferred: Proven experience delivering actionable business insights through advanced analytical techniques
 * Preferred: Experience with SQL, Python and AI-enabled tools to automate workflows, accelerate analysis, and generate insights.

## Description

* Success in this role requires more than producing reports and dashboards. You will partner with cross-functional stakeholders to understand business challenges, test hypotheses using appropriate analytical and statistical methods, and translate insights into actionable recommendations through compelling data storytelling.
 * Apply analytical techniques such as customer segmentation, funnel analysis, cohort analysis, forecasting, and statistical testing to identify opportunities, measure business performance, and validate business hypotheses.
 * Extract and analyze data using SQL and other analytical tools to answer business questions, identify opportunities, and support decision-making.
 * Evaluate the potential usability of internal and external data sources to strengthen analytics capabilities and enhance business insights.
 * Analyze customer, commercial, and operational data to identify drivers of business performance and recommend actions for growth and efficiency.


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