At a Glance
- Tasks: Own data collection and analysis for impactful gender diversity research.
- Company: Not-for-profit organisation driving gender diversity in asset management.
- Benefits: Competitive salary, generous holiday, pension contributions, and hybrid working.
- Other info: Join a high-calibre team and enjoy technical autonomy in your role.
- Why this job: Make a real impact on gender diversity while collaborating with top academic institutions.
- Qualifications: Proficiency in Python, strong data manipulation skills, and project management experience.
The predicted salary is between 40000 - 50000 £ per year.
My client is a well-established not-for-profit driving gender diversity in a major alternative asset management sector. Founded over a decade ago, they have grown into a significant pan-European membership organisation and have spent years tracking and advocating for female representation at senior levels across the industry. Their annual research programme is central to that mission — and this role is central to that research.
They are looking for a Data Analyst to join a small, high-impact research team in London. You will own the data engine behind their flagship annual gender diversity report — one of the most detailed datasets of its kind in the sector — and contribute across a growing portfolio of research projects in partnership with leading academic institutions.
What you'll do
- 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.
What we're looking for
- 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.
Why join them
- Real impact — the data you produce informs policy conversations, is used by member firms to benchmark themselves, and directly influences how the industry thinks about gender diversity.
- Unique work — my client is one of a very small number of organisations collecting gender representation data at this level of granularity across European markets.
- Intellectual variety — beyond the flagship annual report, you will contribute to international research projects and academic collaborations.
- Technical autonomy — you will own the technical stack and have the freedom to improve and evolve how the team works.
- A high-calibre team and network — collaborating with partners at leading academic institutions and major investment firms across Europe.
- Permanent role with strong benefits including generous holiday, Christmas closure, and pension contribution.
- Hybrid working from a central London office, with genuine flexibility.
The detail
- Location: Central London — 3 days in office per week, with flexibility.
- Contract: Permanent, full-time.
- Salary: Competitive, dependent on experience.
- Start date: As soon as possible — my client is looking to move quickly.
- Notice period: My client ideally needs someone available by early August.
Data Analyst — Gender Diversity Research in London employer: Nicholson Glover
Join a pioneering not-for-profit organisation dedicated to advancing gender diversity within the alternative asset management sector. As a Data Analyst in our London office, you will play a crucial role in producing impactful research that informs industry policy and benchmarks member firms, all while enjoying a supportive work culture that values intellectual variety and technical autonomy. With strong benefits, hybrid working options, and opportunities for collaboration with leading academic institutions, this is an excellent opportunity for those passionate about social impact and data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst — Gender Diversity Research in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nicholson Glover!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst — Gender Diversity Research at Nicholson Glover.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nicholson Glover.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst — Gender Diversity Research at Nicholson Glover, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst — Gender Diversity Research in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nicholson Glover, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nicholson Glover. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nicholson Glover
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nicholson Glover!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
