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- Tasks: Dive into data, generate insights, and support key financial decisions.
- Company: Fast-growing FinTech company with a collaborative and fun culture.
- Benefits: Competitive salary, bonuses, pension scheme, and private medical insurance.
- Why this job: Join a mission-driven team and shape the future of investment technology.
- Qualifications: 1-2 years in Data & Analytics, strong SQL and Python skills.
- Other info: Flexible working hours and a supportive environment for personal interests.
The predicted salary is between 34000 - 45000 £ per year.
We’re looking for a Data Analyst to deep dive into our data and generate insights that will inform critical financial and strategic decisions. This is a unique opportunity for an ambitious and talented self-starter, who thrives in a fast-moving scale-up environment, working closely with our CEO, SVP Finance, Head of FP&A and other key stakeholders. The ideal candidate is highly analytical with a background in Data & Analytics (Finance is a plus). You will have 1-2 years experience, be comfortable manipulating large datasets, and have the ability to code in Python and SQL. We are looking for someone who can work independently, think strategically and take ownership of analysis to generate valuable insights across Finance, Commercial and Operational domains.
What you’ll do:
- Use SQL to code and query the database in order to provide inputs for key business and financial models.
- Clean, validate and transform large datasets, ensuring data integrity and readiness for analysis and reporting.
- Analyse large datasets to provide insights for the company and answer complex problems.
- Build and maintain dashboards (using PowerBI) for management to track real-time performance, growth, unit economics, KPIs and other metrics.
- Strategic thinking using a data-led approach to recommend key business decisions.
What we’re looking for:
- A strong numerical degree (2:1 or above) in mathematics, engineering, computer science, finance or another related technical discipline or equivalent practical experience.
- 1-2 years experience in a Data & Analytics role, preferably within Financial services.
- Excellent Excel and SQL skills, and proficiency in Python, PowerBI and other BI tools.
- Ability to manipulate large datasets, build dashboards and analyse results.
- Ability to translate problems into technical requirements and implement solutions.
- Ability to take ownership of projects and enjoy working in a fast moving FinTech.
Nice to have:
- Knowledge of Python is desirable.
- You have worked in a tech environment before or have a strong interest in FinTech (think challenger banks, crypto and app-based investing).
What we’re really looking for:
Someone with a genuine interest in Chip and is excited about being part of a fast-growing company and our mission to build the investment super app of the future. Although we’re in the financial space, and under the scrutiny that comes with it, the current operations team works well together, and even sometimes with a smile. We’re sure you’ve got the technical skills, otherwise, you would have stopped reading by now, so let us be clear on what will make us want to work with you. We want a real person, with interests outside of work, to join our team. You could be a dancer, a gamer, a musician, a parent, a hockey fan, or even that one person that still writes Twilight fan-fiction. Doesn’t matter to us. At the interview stages, we will be looking for empathy, eq, fun stories, and the ability to smile even when things are tough.
Working Hours:
Monday to Thursday: 9:00 AM – 6:00 PM
Friday: 8:00 AM – 4:00 PM (Start your weekend early!) Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend!
PERKS:
- £34k - £45k per annum.
- Discretionary Performance-Related Bi-Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary.
- Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £45,000.
- Private medical insurance (medical history disregarded).
- Employee Assistance Programme.
- Cycle to work scheme.
- Season ticket loan.
- Free ChipX subscription for UK-based employees.
- We are an equal-opportunity employer and value diversity.
- Flexible working arrangements.
- 28 days holiday plus.
Data Analyst in London employer: Chip
Contact Detail:
Chip Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common data analyst questions. Get comfy with SQL queries and Python coding challenges. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 3
Show off your skills with a portfolio! Create a few projects that highlight your data analysis abilities, especially using PowerBI. This will give you something tangible to discuss during interviews and set you apart from the crowd.
✨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, we love seeing candidates who are genuinely interested in joining our mission at StudySmarter.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL, Python, and Excel skills in your application. We want to see how you can manipulate large datasets and generate insights, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for the Data Analyst role. Mention specific experiences that relate to finance and analytics, and let us know why you're excited about working with us at StudySmarter.
Be Yourself: We’re looking for a real person, not just a list of qualifications. Share a bit about your interests outside of work, whether it’s gaming, dancing, or writing fan-fiction. We love to see personality shine through!
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 get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Chip
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially when it comes to manipulating large datasets or building dashboards. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Analytical Mindset
Prepare to share specific examples of how you've tackled complex problems using data analysis. Think about a time when your insights led to a significant decision or improvement. This will demonstrate your ability to think strategically and take ownership of your work, which is exactly what they’re looking for.
✨Be Ready to Discuss Financial Insights
Since this role involves generating insights for financial decisions, be prepared to talk about any experience you have in finance or how your analytical skills can contribute to financial models. Even if your background isn’t strictly in finance, showing an understanding of financial concepts can set you apart.
✨Bring Your Personality
This company values a good cultural fit, so don’t shy away from sharing a bit about yourself outside of work. Whether you’re into gaming, dancing, or writing fan-fiction, let your personality shine through. They want to see that you can bring empathy and fun to the team, even in challenging situations.
