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

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

• 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

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 needs someone available by early August. Please only apply if you are on 4 weeks’ notice or less.

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses. Speak to us: francis@nicholsonglover.co.uk

This isn’t a “go execute someone else’s motion” role. You’ll define ICP, build pipeline from zero, close the first US logos, and lay the foundations for a revenue team. There’s a clear path to VP/Head of Revenue as the team scales. The comp reflects the ambition: $150–180K base, $250–320K OTE, equity with a 5-year exercise window.

Our client is a high-growth, London-founded HR Tech platform building agentic AI for the way enterprises actually work: automating workflows across HR, Finance, and Ops. They’re backed by the founders of Slack, Figma, and Shopify, have raised $20M, and already have paying customers like Lovable, Poolside, and Quantexa. Now they’re building in the US and you’d be their first commercial hire here.

You’ll own full commercial motion of their proprietary product in the US: outbound prospecting, full-cycle selling, early design-partner deals, and GTM asset creation (decks, demos, POVs). You’ll be the direct line between US customers and the product team, feeding in what the market needs. No SDR support. No pre-built pipeline. That’s the point.

📍 San Francisco. On-site Mon–Thu. No visa sponsorship.

You’ve closed $100K+ ARR deals with C-suite or VP buyers: ideally in HR, Finance, or Ops. You’ve been a first or founding sales hire before, and you’ve thrived. You build outbound pipeline from scratch and don’t need a warm brand to get meetings. You’re comfortable selling in a category that’s still being defined, and you can hold a credible conversation about agentic AI with technical and non-technical buyers alike.

You actively use AI tools such as Clay, ChatGPT, and Perplexity in your daily workflow.

This isn’t for someone who needs structure to perform. It’s for someone who finds ambiguity energising and ownership motivating.

They are one of the biggest companies in Europe, working across multiple offerings from TV to Mobile and Broadband. With over 20 million customers worldwide, they are one of the leaders in the media and entertainment space.

You will lead end-to-end analytics projects across key business areas including TV, streaming, connectivity and VIP, helping shape data-driven decisions that support consumer strategy and commercial priorities.

You will translate complex analytical outputs into compelling, commercially relevant stories, partnering closely with stakeholders from problem definition through to delivery.

The Candidate

Key attributes of a suitable Analytics Manager include:

• Proven experience using analytics to influence commercial or strategic decisions, with a strong track record of communicating insight clearly to senior stakeholders.
• Advanced SQL skills with hands-on experience querying large-scale customer, transactional or behavioural datasets to deliver high-impact analysis independently.
• Experience applying advanced analytical techniques and a curiosity to continue developing your toolkit, with exposure to programming languages such as Python or R being an advantage.

You’ll be the most senior technical person on a close-knit team of six. You’ll own the product roadmap, shape the architecture, and help define what the platform becomes next — including leading a rearchitecting project that’s already in motion. About 3 to 3.5 days a week you’ll be writing code. The rest of the time you’ll be leading, planning, reviewing, and occasionally representing the product to clients.

You’ll line manage one developer and work closely with researchers and delivery leads to translate client briefs into builds.

TypeScript is your primary language — backend and frontend. The infrastructure runs on AWS serverless. The frontend is React. There’s some legacy C# in the backend which you won’t need to know — and which may get replaced over time. Strong cloud and backend skills matter most here.

You’re a strong TypeScript and AWS backend developer with 5+ years of full stack experience. You’ve come from a larger organisation or agency — you know what good looks like and you’re ready to bring that into a smaller, more purposeful environment. You’re comfortable being the most senior technical voice in the room, and you can talk about a product commercially as well as technically. You’ve managed or mentored developers before, even informally. And you genuinely care about the work — this is civic tech, and the mission matters.

The organisation is transitioning to independence over the next couple of years. As that happens, the right person in this role grows naturally into a CTO position. We’re not promising that on day one — but we are looking for someone with that potential.

📍 The practicalities

SE1, London. Two fixed days in the office — Monday and Wednesday. Permanent. Right to work in the UK required. Up to three months notice is fine — they’ll wait for the right person.

💬 Interested?

Please apply.

#CivicTech #TechForGood #Hiring #SeniorDeveloper #TypeScript #AWS #London #FullStack

A leading UK Property-Tech business providing digital valuation, property risk decisioning, and data services to financial institutions and property professionals.

Their platforms support major mortgage lenders as well as property developers and investors, helping organisations make better lending and property decisions through high-quality data, technology, and analytics.

You’ll play a key role within the analytics function, leading complex analytical projects and delivering high-impact insight to support both product development and client decision-making.

Working closely with product, engineering, and commercial teams, you’ll analyse large and complex datasets to identify trends, evaluate performance, and generate insights that support strategic decisions across the business.

You’ll also contribute to the development and improvement of analytical products and methodologies, ensuring outputs are robust, scalable, and aligned with both client needs and business objectives.

Key attributes of the suitable Principal Analyst include:

• Strong technical skills across SQL and Python (Spark or similar tools beneficial), with the ability to conduct complex analysis on large datasets
• Experience performing analytical deep-dives and back-testing risk metrics to support product development and performance monitoring
• Confident in stakeholder engagement and communicating complex analytical findings to both technical and commercial audiences
• Ideally, a background in one of mortgage lending, property analytics, consultancy, or a data provider supporting financial services