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- Tasks: Explore data, uncover insights, and support decision-making in a fast-paced fintech environment.
- Company: Join ARQ, a dynamic fintech company focused on data-driven solutions.
- Benefits: Competitive salary, latest tech, and a supportive team to enhance your skills.
- Other info: Great opportunities for continuous learning and professional growth.
- Why this job: Kickstart your analytics career and make a real impact on business decisions.
- 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.
- Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis.
- Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow).
- 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.
- Ambitious, high-potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance.
Nice to have:
- STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields).
- Experience with BI or visualization tools (Metabase, Looker, etc.).
- Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations.
- Exposure to fraud, financial, or product analytics (any domain welcome).
- Spanish/Portuguese proficiency for internal and external communications.
Benefits:
- Competitive salary.
- Own the development process that will face on the customer's impact.
- Latest technology to work with.
- Strong team that will help you improve your skills.
Junior Data Analyst - London employer: ARQ
Contact Detail:
ARQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your SQL and Python skills, and be ready to discuss how you've used data to drive decisions in past projects. We want to see your analytical curiosity in action!
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, including dashboards or analyses you've done. This gives potential employers a tangible sense of your skills and how you approach problem-solving.
✨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 Junior Data Analyst - London
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for data! In your application, highlight any projects or experiences where you’ve explored data and uncovered insights. This will show us that you’re not just looking for a job, but you’re genuinely interested in how data drives decisions.
Tailor Your Application: Make sure to customise your CV and cover letter for the Junior Data Analyst role. Use keywords from the job description, like SQL skills and analytical curiosity, to demonstrate that you’re a perfect fit for our team at ARQ.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your insights and experiences are easy to understand. Use bullet points if needed to break down your skills and achievements!
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 on joining our team!
How to prepare for a job interview at ARQ
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get comfortable with Python basics. Be ready to discuss how you've used these tools in past projects or internships, as this will show your practical experience and readiness for the role.
✨Show Your Analytical Curiosity
Prepare examples of how you've investigated data in the past. Think about times when you spotted anomalies or trends and what actions you took. This will demonstrate your problem-solving skills and your passion for uncovering insights.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your analysis during the interview, so being able to convey your insights clearly and visually is key. Use storytelling techniques to make your points relatable.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data practices and the tools they use. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it’s a great way to engage with your interviewers!