Functie
Position
Job title: Data Analyst – Foundation4Tech (Infrastructure as Code Area)
Location & working: Utrecht, hybrid. Employment type: Full-time (1.0 FTE). Self-employed contractors (ZZP): not allowed.
Role
You will transform large volumes of infrastructure, security, compliance and operational data into actionable insights that support operational excellence, risk management and regulatory compliance. You will work in a multidisciplinary Agile team (DevOps / Scrumban) alongside infrastructure engineers, security specialists, architects, risk officers, tech leads and product owners to improve the resilience, security and compliance posture of the IT landscape.
Key responsibilities
Analyze and interpret infrastructure, security, compliance and operational data from multiple sources.
Develop dashboards, reports and KPIs to support data-driven decision-making.
Improve data quality and data processes, working with DevOps teams and stakeholders to strengthen definitions, controls, automation and reporting.
Provide insights into regulatory and internal compliance requirements and monitor adherence across the infrastructure landscape.
Create and maintain data models that provide visibility into infrastructure health, security risks and operational performance.
Independently explore and interpret complex data and data models, translating findings into business and technical recommendations.
Support audit, risk and governance activities through accurate reporting and evidence collection.
Monitor and report on Lifecycle Management (LCM) activities, including hardware/software end-of-life and end-of-support risks.
Support Vulnerability Management by analyzing vulnerability data, identifying trends and prioritizing remediation.
Drive continuous improvement initiatives within Agile and Scrumban teams.
Required skills and experience
Bachelor’s or Master’s degree in Data Analytics, Computer Science, Information Management or related field.
Experience as a Data Analyst within an IT infrastructure, security or technology environment.
Strong stakeholder management, communication, collaboration, influencing and problem-solving skills.
Experience with data visualization and reporting tools (e.g., Power BI, Tableau).
Proficiency in SQL and experience working with large datasets.
Experience with Lifecycle Management (LCM) reporting and analysis.
Knowledge of Vulnerability Management frameworks, scanning solutions and remediation tracking.
Understanding of information security principles, cyber risk management and security controls.
Experience working within Agile, DevOps and Scrumban environments.
Languages: English and Dutch mandatory.
Preferred qualifications
Experience in financial services or a regulated industry.
Experience with CMDB, asset management and infrastructure monitoring platforms.
Familiarity with automation and scripting (Python, PowerShell, Azure Data solutions).
Familiarity with Microsoft Power Platform (Power Apps, Power Automate) for low-code solutions and workflow automation.
Experience with Databricks for data engineering and analytics.
Experience with monitoring/observability tools (Splunk, Elastic, Dynatrace, Prometheus, Azure Monitor).
What we offer
Challenging role contributing to strategic security, compliance and infrastructure initiatives.
Modern Agile and DevOps ways of working.
Hybrid working environment with flexible arrangements.
Professional development opportunities.
Your impact
By delivering trusted insights into infrastructure lifecycle status, vulnerability exposure, compliance adherence and security risk trends, you will help safeguard the stability, security and resilience of the technology landscape while supporting regulatory obligations and business objectives.
Eisen
- We are looking for 1 FTESuppliers can offer just one candidate for this position
- Please clearly indicate in the motivation field whether the candidate has any planned vacation or special leave during the duration of this assignment
- Please provide in the CV whether an internal reference can be requested
- Language: English and Dutch mandatory
- Bachelor's or Master's degree in Data Analytics, Computer Science, Information Management, or a related field
- Experience as a Data Analyst within an IT Infrastructure, Security, or Technology environment
- Experience with Lifecycle Management (LCM) reporting and analysis
- Experience working within Agile, DevOps, and Scrumban environments
- All submitted candidates must be in possession of a valid Passport or ID card, which must be taken along to the interview and at the start of the assignment
- Candidate should be submitted exclusively to Magnit – Rabobank during the exclusivity period of 4 business days on one request
- Furthermore, the candidate has to be available throughout the entire duration of the assignment
- Pre-employment screening will be executed and the candidate is only allowed to start after the screening has been completed successfully
- Complete all candidate details correctly. Enter the candidate's contact details under ‘email address and telephone number’! The same applies to the address
- Suppliers must be aware of the laws and regulations regarding employment conditions and Rabobank’s Collective Labour Agreement. This assignment is placed in scale 9
- Do not offer candidates via midlance constructions
Gunningscriteria
- Language: English and Dutch mandatory
- Preferred Qualifications: Experience within the financial services or regulated industry
- Preferred Qualifications: Experience with CMDB, asset management, and infrastructure monitoring platforms
- Preferred Qualifications: Familiarity with automation and scripting technologies (Python, PowerShell, or Azure Data solutions)
- Preferred Qualifications: Familiarity with Microsoft Power Platform, including Power Apps and Power Automate, to develop low-code solutions, automate operational workflows, and streamline reporting
- Preferred Qualifications: Experience with Databricks for data engineering, analytics, and working with large-scale datasets
- Preferred Qualifications: Experience with monitoring and observability tools such as Splunk, Elastic, Dynatrace, Prometheus, or Azure Monitor
Extra informatie
Je sollicitatie dient uiterlijk 17 september 2026 om 10:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.
