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# Data Analyst - Gender Diversity Research

- **Company:** Nicholson Glover
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Big Data, Data Cleansing, Web Scraping, Python (Programming Language), Power BI, Tableau (Software), Data Pipelines
- **Published:** July 13, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2872439967-2

## About the Role

Essential:

 * Proficiency in Python (or equivalent) for web scraping, data cleaning, analysis and automation - professional-grade experience, not just coursework
 * A track record of building reproducible, systematic data pipelines - not just ad hoc scripts
 * Strong data merging and manipulation skills across large, complex datasets from multiple sources
 * Advanced Excel - complex data tables, quality assurance processes, and stakeholder-facing analytical outputs
 * A genuine quality-control mindset and rigorous attention to detail with data
 * End-to-end project management experience on complex, multi-stakeholder data or research projects
 * Confident communicator, able to engage professionally with senior stakeholders, academic partners, and international committees
 * Ability to work independently and take ownership without a technical line manager
 * Genuine interest in gender diversity, DE&I, or social impact - this matters to my client

Desirable:

 * Experience with data visualisation tools such as Power BI or Tableau
 * Exposure to AI or automation tools applied to data or research workflows
 * Background in or knowledge of alternative asset management or financial services
 * Experience with pan-European data collection or GDPR compliance in a data context

## Description

This is a hands-on, technically demanding role. The core of the job is a large-scale, pan-European demographic data exercise, run twice a year, tracking gender representation across investment roles at a substantial number of member firms across multiple European markets. You will:

 * Own data collection end-to-end, including web scraping of LinkedIn and other publicly available sources using Python (or equivalent)
 * Build and maintain reproducible data pipelines that ensure consistency and quality across research cycles
 * Merge, clean and manipulate complex, multi-source datasets to produce reliable, longitudinal outputs
 * Develop and maintain Excel-based benchmarking tools used directly by member firms
 * Project manage research delivery, coordinating with international committees, trade associations, and academic partners
 * Produce analysis and contribute to report writing, working with an external agency on final production
 * Support the wider team with data requests and presentations across the programme of work
 * Identify opportunities to improve research efficiency through automation, standardisation, and AI tools


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