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For Companies At a Glance
- 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, private medical insurance, and flexible working.
- Why this job: Join a mission-driven team and shape the future of investment apps.
- Qualifications: 1-2 years in Data & Analytics, strong SQL and Python skills.
- Other info: Enjoy a balanced workweek with early Friday finishes and 28 days holiday.
The predicted salary is between 29000 - 39000 £ 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.
Responsibilities
- 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 Operations · Shoreditch · in London employer: Chip UK
Contact Detail:
Chip UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Operations · Shoreditch · 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 questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled complex problems and generated insights.
✨Tip Number 3
Don’t forget to show your personality! Companies like us at StudySmarter want to see the real you. Share your interests outside of work during interviews; it helps build rapport and shows you're a well-rounded candidate.
✨Tip Number 4
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 our team and being part of our mission.
We think you need these skills to ace Data Analyst Operations · Shoreditch · in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how it drives decision-making. Don’t forget to mention why you’re excited about joining us at StudySmarter and contributing to our mission.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. Whether it's building dashboards or analysing datasets, we love seeing real examples of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Chip UK
✨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. Showing that you're comfortable with these technologies will definitely impress.
✨Showcase Your Analytical Mindset
Prepare to talk about specific examples where you've turned data into actionable insights. Think of a time when your analysis led to a significant decision or improvement. This will demonstrate your ability to think strategically and take ownership of your work.
✨Emphasise Teamwork and Culture Fit
Since the company values a fun and collaborative environment, be ready to share stories that highlight your interpersonal skills and how you’ve contributed to team dynamics. They want to see that you can bring a smile to tough situations while still being a reliable team player.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy or how they measure success in their operations. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
