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# Analyst - Decision Support and Data Analysis for NATO

- **Company:** Wlg
- **Location:** Den Haag, Netherlands
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Spreadsheets, Decision Support Systems, Python (Programming Language)
- **Published:** August 28, 2026
- **Apply:** https://www.careerjet.nl/job/nl0644a2cf22ee539106e5c604747a2d48/eaa

## About the Role

* Recent experience conducting analysis that fed a real decision.
 * Ability to review and analyse large data sets with commercial and in-house tools.
 * Working Python, expert-level spreadsheet skills, and confidence with dashboard tooling.
 * A methodical habit - verified data, stated assumptions, reproducible steps.
 * Clear written and spoken English.

## Description

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BI/Business Intelligence · The Hague
Analyst - Decision Support and Data Analysis for NATO with security clearance
Turn large, awkward data sets into something a commander can decide on - analysis, modelling and dashboards, alongside an operational analysis team at The Hague.
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Operational analysis is the discipline of answering hard questions with evidence when the decision cannot wait for perfect data. This is a junior post inside that team: you would do the collection, the collation and the analysis, and present it back in a form that stands up to scrutiny.
It suits someone early in their analytical career who is genuinely comfortable with a messy data set and unbothered by working to a deadline - the output here is often needed for a decision the same week.
What you would be doing

 * Undertake data and operational analysis on complex problems, often with large data sets and simple tools.
 * Apply operational analysis techniques - modelling, what-if analysis and wargaming among them.
 * Collect, collate and analyse data across a range of sources and tools, including Python and advanced spreadsheet work.
 * Present findings concisely and logically, so the method is as visible as the answer.
 * Produce verified, validated and consistent data sets under time pressure.
 * Summarise results into dashboards, presentations and written reports.
 * Support the team in developing and updating documentation and reports.


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