Web Archiving Data Analyst and Crawl Engineer
@ U.S. National Archives and Records Administration

Cleethorpes, England, United Kingdom
£40,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview

The National Archives, a nearly 200-year-old institution, seeks a Web Archiving Data Analyst and Crawl Engineer. This role supports the data extraction and analysis of rich web and social media archives, and is key to our mission in preserving our national and digital history.

Role and Responsibilities

  • Deliver comprehensive analysis and develop data structures, visualizations, and reports.
  • Develop robust analytical solutions with modular, well-documented code.
  • Engineer automated workflows across systems to improve archiving processes.
  • Manage in-house web crawling and social media capture lifecycles.
  • Innovate access methods through APIs, datasets, and interactive dashboards.
  • Support research by providing tools and actionable insights from structured and unstructured data.
  • Collaborate internally and externally to advance web archiving technology.

Working Conditions and Benefits

This full-time position offers flexibility including part-time, job sharing, and hybrid working arrangements (minimum 60% onsite at the Kew site). It comes with a generous benefits package including pension, on-site gym, and training opportunities.

Key Skills/Competency

  • Web scraping
  • Data analysis
  • Python
  • Data pipelines
  • HTML/XML/JSON
  • Automation
  • Crawling
  • Visualization
  • Reporting
  • Digital preservation
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How to Get Hired at U.S. National Archives and Records Administration

🎯 Tips for Getting Hired

  • Customize your resume: Highlight web data extraction experience.
  • Tailor your cover letter: Address job criteria clearly.
  • Research National Archives: Understand their digital initiatives.
  • Prepare technical examples: Demonstrate coding and data pipeline skills.
  • Practice interview insights: Be ready for onsite technical tasks.

📝 Interview Preparation Advice

Technical Preparation

Review Python and data pipeline concepts.
Practice code for web scraping tasks.
Study data visualization tools like Tableau.
Refresh knowledge of HTML, XML, and JSON.

Behavioral Questions

Describe a time you solved technical challenges.
Explain how you manage multiple deadlines successfully.
Share an example of adapting work to new priorities.
Discuss a project where collaboration was key.

Frequently Asked Questions