At a Glance
- Tasks: Transform data and AI to solve real-world problems in a fast-paced environment.
- Company: Join QuantSpark, where innovation meets societal impact.
- Benefits: Accelerated career growth, direct access to leadership, and hands-on project experience.
- Other info: Collaborative culture with opportunities to develop in data engineering and AI.
- Why this job: Make a difference by applying data insights to meaningful projects.
- Qualifications: 3+ years in data analytics, Python skills, and a passion for learning.
The predicted salary is between 40000 - 50000 € per year.
Requirements
- You have at least +3 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.
- Python programming basics or equivalent analytical scripting experience.
- Good interpersonal and communication skills.
- Positive attitude and eagerness to learn.
- Basic statistical analysis understanding or coursework (Desirable).
- Familiarity with SQL or cloud platforms such as AWS/Azure (Desirable).
- Some exposure to data visualisation tools (e.g., Power BI) (Desirable).
- Interest or exposure to project management principles (Desirable).
- Some knowledge or interest in machine learning/exposure to AI tools.
What the job involves
- Reporting to: Analytics Manager.
- 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.
- 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.
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.
Senior Analyst in London employer: Deepstreamtech
At QuantSpark, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. With a strong focus on employee growth, you will have the opportunity to rapidly advance your career while working on impactful projects that utilise data and AI to address real-world challenges. Our supportive environment encourages continuous learning and innovation, making it an ideal place for those eager to develop their skills in a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at QuantSpark. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or any relevant work, make sure to highlight them during interviews. Use real examples to demonstrate your Python prowess and how you've tackled data challenges.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data analytics, SQL, and any tools mentioned in the job description. Being able to discuss these topics confidently will show you're ready to dive into the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the QuantSpark team.
We think you need these skills to ace Senior Analyst in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in data analytics and any technical skills you have, especially with Python. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects or relevant coursework!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your experiences and insights. Remember, we’re looking for someone who can communicate effectively with both technical and non-technical audiences.
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your interest in areas like Data Engineering or Predictive Modelling, and how you see yourself growing in our fast-paced environment. We love seeing genuine enthusiasm!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data
Make sure you brush up on your data analytics skills, especially in Python. Be ready to discuss any projects you've worked on that involved data analysis or predictive modelling. Show them you're not just familiar with the tools but can also apply them to real-world problems.
✨Communicate Clearly
Since you'll need to explain complex data insights to non-technical audiences, practice simplifying your explanations. Think of examples where you've had to break down technical concepts for others and be prepared to share those during the interview.
✨Show Your Team Spirit
Collaboration is key in this role, so be ready to talk about your experiences working in teams. Highlight how you’ve contributed to group projects and how you manage your workload while supporting your colleagues.
✨Embrace Learning Opportunities
Express your eagerness to learn and grow, especially in areas like data engineering and AI. Mention any relevant courses or self-study you've done, and be open about your desire to develop new skills that align with the company's goals.
