At a Glance
- Tasks: Dive into data, uncover insights, and help shape our fintech products.
- Company: Join ARQ, a dynamic fintech company focused on innovation.
- Benefits: Competitive salary, stock options, paid leave, and cutting-edge tech.
- Other info: Great team support for skill development and growth opportunities.
- Why this job: Kickstart your analytics career and make a real impact in a fast-paced environment.
- Qualifications: 1-3 years in analytics, strong SQL skills, and a curious mindset.
The predicted salary is between 30000 - 40000 £ per year.
Are you curious about how things work and motivated by uncovering insights hidden in data? As a Data Analyst at ARQ, you’ll help us understand our business, customers, and operations through rigorous analysis and thoughtful storytelling. You’ll explore data, detect patterns, and build the foundations for decisions that shape the future of our products and company. This is a role for someone early in their analytics career who wants to grow — learning how data drives product, financial, and strategic decisions in a fast‑paced fintech environment.
What you’ll be doing:
- Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes.
- Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes.
- Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable.
- Decision Support: Translate analytical findings into clear recommendations for product and operational improvements.
- Metric Design: Help define and refine the KPIs that matter most for our business and customer experience.
- Documentation: Keep analyses, methodologies, and assumptions well‑documented and reproducible.
- Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists.
- Continuous Learning: Expand your analytical toolkit and develop product sense through real‑world problem solving and mentorship.
What you’ll need:
- 1–3 years of experience in analytics, data, or operations (internships count).
- Strong SQL skills for querying and exploring datasets.
- Analytical curiosity and a structured approach to problem solving.
- Good communication skills — able to explain insights clearly and visually.
- Initiative to automate repetitive tasks and improve reporting workflows.
- Interest in fintech, data‑driven decision‑making, and machine learning concepts (Bonus).
- Familiarity with Python for basic data manipulation (Bonus).
- Spanish/Portuguese proficiency for internal and external communications.
Nice to have:
- Experience with BI or visualization tools (Metabase, Looker, Power BI, etc.).
- Understanding of key business metrics and experimentation principles.
- Exposure to fraud, financial, or product analytics (any domain welcome).
Benefits:
- Competitive salary.
- Sign‑on stock options bonus, so you become part of the success of the company.
- Discretionary performance bonus (stock options).
- Paid annual leave.
- Latest technology to work with.
- Autonomy and ownership from day one.
- Strong team that will help you improve your skills.
Data Analyst - London employer: ARQ
At ARQ, we pride ourselves on being an excellent employer that fosters a culture of curiosity and continuous learning. As a Data Analyst in the dynamic fintech sector, you'll enjoy competitive salaries, stock options, and the opportunity to work with cutting-edge technology while receiving mentorship from experienced professionals. Our supportive team environment encourages autonomy and ownership, making it an ideal place for early-career analysts to thrive and grow.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working as data analysts. Use platforms like LinkedIn to connect and engage with them — you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, dashboards, or any cool data visualisations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytical skills. Be ready to discuss how you've used data to drive decisions in past roles or projects. Practice explaining your thought process clearly — storytelling is key!
✨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 are proactive about their job search!
We think you need these skills to ace Data Analyst - London
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've explored data in the past and what insights you uncovered. We love seeing that analytical spark!
Be Clear and Concise:Make sure your application is easy to read. Use clear language and structure your thoughts logically. We appreciate a well-organised application that gets straight to the point — it shows us you can communicate effectively!
Highlight Relevant Experience:Don’t forget to mention any relevant experience, even if it’s from internships! Whether it's SQL skills or using BI tools, we want to see how your background aligns with the role. Tailor your application to showcase your strengths!
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 the role. Plus, it’s super easy — just follow the prompts!
How to prepare for a job interview at ARQ
✨Know Your Data Tools
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL in past projects or internships to analyse data and uncover insights. If you have experience with BI tools like Metabase or Power BI, be prepared to share specific examples of how you've used them to create reports or dashboards.
✨Show Your Analytical Curiosity
During the interview, demonstrate your analytical curiosity by discussing a project where you identified patterns or anomalies in data. Talk about the steps you took to investigate these findings and how they influenced decision-making. This will show that you're not just a number cruncher but someone who genuinely wants to understand the 'why' behind the data.
✨Communicate Clearly
Good communication is key for a Data Analyst role. Practice explaining complex data insights in simple terms. You might even want to prepare a mini-presentation of a past analysis you've done, focusing on how you translated your findings into actionable recommendations. This will highlight your ability to tell a story with data.
✨Emphasise Continuous Learning
ARQ values continuous learning, so be sure to express your eagerness to expand your analytical toolkit. Share any recent courses, workshops, or self-study you've undertaken related to data analysis or fintech. This shows that you're proactive about your professional development and ready to grow within the company.
