Analyst/Senior Analyst
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Title: Analyst /Senior Analyst
Reporting to: Analytics Manager
Office Environment: Hybrid (two days per week)
Type: Full time, permanent
Join Our Mission
Skip the queue. Shape the future. See real impact.
At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most—whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies.
Here, you’ll compress 5–10 years of traditional career progression into 2–3 years.
From day one, you’ll support and deliver end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain.
We don’t just analyse: we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact.
Our Client Portfolio
QuantSpark’s partners span:
- Private Equity & Financial Services: Value creation analytics, risk identification, and portfolio performance for global investment and wealth managers.
- Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for leading UK consumer brands.
- Asset Management: Data-driven systems, risk automation, and alternative data for top asset managers.
- Public Sector: Fraud analytics, predictive maintenance, and supply chain solutions for multiple UK government departments.
- SaaS & Manufacturing: Data-powered transformation across startups and global manufacturers.
The Role
As an Analyst, you will:
- Use AI coding agents (e.g., GitHub Copilot, Cursor, Claude/ChatGPT-based workflows, etc.) to accelerate delivery while ensuring correctness and security.
- Assist in analysing datasets and support the translation of findings into clear insights.
- Contribute to the delivery of analysis pipelines, models, and visualisations with guidance.
- Collaborate with project teams and learn to communicate insights effectively to clients.
- Support senior analysts and managers in project tasks, gradually building confidence and independence.
- Develop practical skills in data engineering, modelling, and business intelligence tools.
In your first three months, you will focus on learning the tools and methodologies, supporting project deliverables, and integrating into our team culture.
You Should Apply If…
- You have at least +2 years in a commercial setting with a technical focus in data analytics and a strong motivation to learn end-to-end project work.
- You have intermediate proficiency in Python and a willingness to develop skills in areas such as Data Engineering, Predictive Modelling, or Business Intelligence.
- You are organised and can manage your workload reliably, collaborating well within teams.
- You communicate clearly and are eager to explain data insights to non-technical audiences.
- You want to apply data and AI to real-world problems and grow in a fast-paced environment.
Must-Haves
- Good Python programming skills
- Good interpersonal and communication skills.
- Positive attitude and eagerness to learn.
- Basic statistical analysis understanding or coursework
- Some knowledge or interest in machine learning/exposure to AI tools.
What You’ll Love About QuantSpark
- A growth environment with mentorship and opportunities to build your skills rapidly.
- Clear visibility into how your work contributes to impactful projects and client success.
- Access to leadership and a culture that values inclusive, diverse perspectives.
- Working with collaborative teams who support your development and curiosity.
In 3-5 Years, You’ll Be…
- Confidently leading parts of analytical projects with growing technical and client interaction skills.
- Trusted by colleagues and clients as a reliable problem solver and communicator.
- Positioned for career advancement within a fast-growing company that rewards initiative.
Perks & Benefits
- £6,000 annual training & conference budget to stay at the cutting edge.
- Up to 6% matched pension for long-term financial security.
- Comprehensive private healthcare via Vitality.
- Work from anywhere in the world up to 20 days per year.
- 25 days holiday plus bank holidays, with the ability to buy or sell up to 5 additional days.
- Cycle-to-work scheme for sustainable commuting.
- Central London office with premium refreshments, team socials, and collaborative atmosphere.
- Exclusive discounts on retail, travel, tech, and fitness memberships.
- Access to cutting-edge tools and platforms, plus regular tech talks and innovation sessions.
- Internal Tech mentorship scheme
Equal Opportunities
We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.