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Salary
≈ $54k – $98k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Senior · 8+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
Stafide is a Dutch staffing company that places IT professionals with client organisations on a project basis. Its current openings include ServiceNow developers, who customise the platform and its CMDB, and full stack Java developers. The company is based in Amsterdam, Netherlands.

As a Senior Technical Data Analyst, you will:

  • Analyze, extract, and validate data using advanced SQL queries across multiple data sources.
  • Support end-to-end data migration projects by performing data mapping, reconciliation, and validation activities.
  • Collaborate with business stakeholders, Data Engineers, and project teams to gather and translate business requirements into technical solutions.
  • Perform data quality assessments and identify inconsistencies, duplicates, and missing data before and after migration.
  • Work with Azure data services to support data integration, storage, and migration initiatives.
  • Develop and optimize SQL scripts to improve data retrieval and processing performance.
  • Execute root cause analysis for data discrepancies and implement corrective actions.
  • Support System Integration Testing (SIT), User Acceptance Testing (UAT), and production validation activities.
  • Prepare technical documentation, data mapping specifications, and migration reports.
  • Ensure data integrity, accuracy, and compliance throughout the migration lifecycle.

What You Bring to the Table:

  • 8+ years of professional experience as a Data Analyst or Technical Data Analyst.
  • Strong proficiency in writing complex SQL queries for data extraction, analysis, validation, and reconciliation.
  • Hands-on experience in data migration, including data mapping, transformation validation, and migration support.
  • Experience working with Microsoft Azure data services such as Azure SQL Database, Azure Data Factory (ADF), Azure Storage, or similar Azure data platforms.
  • Strong understanding of relational databases, data models, and database optimization techniques.
  • Experience working with large datasets and performing data quality assessments.
  • Knowledge of ETL processes and data integration concepts.
  • Familiarity with Agile/Scrum methodologies and working within cross-functional teams.
  • Strong communication and stakeholder management abilities.

You should possess the ability to:

  • Analyze complex datasets and identify trends, anomalies, and data quality issues.
  • Perform detailed data mapping between legacy and target systems.
  • Validate migrated data to ensure completeness, consistency, and accuracy.
  • Write efficient and optimized SQL queries for reporting, validation, and reconciliation.
  • Collaborate effectively with business users, developers, testers, and project managers.
  • Troubleshoot data-related issues and perform root cause analysis.
  • Support multiple migration projects while managing priorities and deadlines.
  • Interpret business requirements and convert them into technical data solutions.
  • Maintain comprehensive technical documentation and migration artifacts.
  • Ensure adherence to data governance, security, and compliance standards.

What we bring to the table:

  • Opportunity to work on enterprise-scale Azure-based data migration and transformation projects.
  • Exposure to modern cloud technologies and large-scale data platforms.
  • Collaborative environment with experienced data, engineering, and business professionals.
  • Opportunity to work on complex data integration and migration initiatives across multiple business domains.
  • Continuous learning and professional development opportunities.
  • Agile work environment focused on innovation, quality, and technical excellence.

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Hema Murali

Phone: +31 20 369 0609 ; Extn :148

Email: [email protected]

LinkedIn: https://www.linkedin.com/in/hema-murali-315999329/

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