At a Glance
- Tasks: Own the data and analytics function, building Python-first data pipelines and resolving issues.
- Company: Dynamic London private equity firm with a high-performing team.
- Benefits: Gain hands-on experience and work directly with senior stakeholders.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make a real impact by turning raw data into actionable insights.
- Qualifications: 0-2 years experience, strong Python and SQL skills, STEM degree preferred.
The predicted salary is between 30000 - 40000 £ per year.
The client, an established London private equity firm with a small, high-performing team, is seeking a Data Analyst to take end-to-end ownership of its data and analytics function. This is a hands-on technical role spanning data analysis, data engineering and debugging. As the sole technical hire, you will build and maintain the firm's data pipelines, resolve issues across the stack, and turn raw data into something the investment and operations teams can act on, working directly with senior stakeholders. It suits a technically strong, early-career engineer who wants genuine ownership and breadth rather than a narrow slot in a large team.
Data Analyst Responsibilities
- Build and maintain Python-first data pipelines
- Run analysis to support investment and operational decisions
- Debug and resolve data issues across the stack
- Own data tooling and workflows end to end as the sole technical hire
- Standardise and improve how data is structured and consumed across the firm
- Work directly with senior stakeholders, translating their questions into technical solutions
Key Requirements
- 0 to 2 years experience, internships included. Strong recent graduates welcome
- Computer Science, or a closely related STEM degree, from a leading global university (top 200), 2:1 or above
- Strong, hands-on Python and SQL
- Exposure to ETL or data pipelines is an advantage
- Genuinely technical with real debugging ability, not a finance-first analyst
- Comfortable working independently and owning outcomes as the only technical person
- Able to work 5 days a week on-site in London
- Existing right to work in the UK without requiring sponsorship now or in the future
Data Analyst employer: Selby Jennings
Join a dynamic and innovative private equity firm in London, where you will have the unique opportunity to take full ownership of the data and analytics function as a Data Analyst. With a strong emphasis on employee growth and a collaborative work culture, this role offers hands-on experience in building data pipelines and working closely with senior stakeholders, making it an ideal environment for early-career professionals looking to make a significant impact in a high-performing team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the private equity space, especially those who work at firms you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Whether it's a personal project or something from an internship, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss Python and SQL in detail, and maybe even tackle a live coding challenge. We want to see how you think and solve problems on the spot!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Technical Skills:Make sure to highlight your hands-on experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can take ownership of data and analytics, so make it clear how your background aligns with that responsibility.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experiences and what you can bring to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our high-performing team!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or internships, and think of specific examples where you built or maintained data pipelines.
✨Understand the Business Context
Since you'll be working directly with senior stakeholders, it's crucial to understand the private equity landscape. Research the firm and its investment strategies so you can speak knowledgeably about how your role as a Data Analyst will support their goals.
✨Prepare for Technical Questions
Expect to face technical questions that test your debugging abilities and understanding of data structures. Practice explaining your thought process clearly, as this will demonstrate your problem-solving skills and technical expertise.
✨Show Your Ownership Mindset
As the sole technical hire, you'll need to convey your ability to take ownership of projects. Share examples from your experience where you took initiative, resolved issues independently, and delivered results, highlighting your proactive approach.
