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# Data Analyst (project-based)

- **Company:** Erasmus Universiteit Rotterdam
- **Location:** Rotterdam, Netherlands
- **Salary:** €3,706.0 - €5,760.0
- **Contract:** Permanent contract
- **Skills:** Information Systems, Databases, Data Cleansing, Google Maps, Information Sciences, Data Processing
- **Published:** September 5, 2026
- **Apply:** https://www.academictransfer.com/en/jobs/363731/data-analyst-project-based-open-research-information-project/apply/

## About the Role

* A completed master's degree in a relevant field (e.g., data science, information science, research management, social sciences, or a related discipline)
 * Strong quantitative data handling and analytical skills, with experience working with datasets, sampling, and comparative analysis
 * Experience with data cleaning, matching, and analysis
 * Affinity with bibliometrics, research information, or open science is an advantage but not required
 * A precise and structured working style, suitable for a short, output-driven project
 * Availability during the full project period from 5 October to 13 November 2026.

## Description

You will work with an existing readiness assessment framework developed within the project. Your role will be to assess and document open databases: OpenAlex and OpenAIRE and proprietary databases: Dimensions, Scopus and Web of Science, against key criteria for Erasmus MC and RSM, including: data coverage, data quality, available metrics, information types, user experience, required skills, required support and governance considerations. Each criterion will be assessed against the research intelligence use cases identified during the as-is phase, such as: tracking research outputs, monitoring research impact and performance, analysing collaboration patterns and monitoring open science practices.

Your main activities will include:

 * Conducting structured comparisons between open and proprietary databases, and institutional current information system, Pure for Erasmus MC and RSM, building on existing preliminary coverage analyses
 * Identifying metadata gaps, coverage differences, affiliation and DOI mismatches, and potential workflow implications
 * Populating and substantiating the readiness assessment framework with evidence-based findings
 * Summarising findings in a format that directly supports the project's management advice phase
 * Reporting weekly to Tung Tung Chan (ERS) and Andrea Tarchi (UB), while working closely with faculty contacts at Erasmus MC (Maarten Engel) and RSM (Brenda de Groot)


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