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For Companies At a Glance
- 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 technology, and a supportive team for skill development.
- Other info: Great opportunity for growth with mentorship and exposure to cutting-edge tools.
- 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 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 fintech space, especially those working at ARQ or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Whether it's a cool dashboard or a unique insight you've uncovered, having tangible examples will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects. We love seeing candidates who can talk the talk and walk the walk!
✨Tip Number 4
Stay curious and keep learning! Dive into online courses or webinars about data analytics and fintech trends. This not only boosts your knowledge but also shows potential employers that you're committed to growing in your career.
We think you need these skills to ace Junior Data Analyst - London
Some tips for your application 🫡
Show Your Curiosity: Let us see your analytical curiosity shine through in your application! Share examples of how you've explored data or uncovered insights in past projects. We love seeing that passion for problem-solving!
Tailor Your Application: Make sure to customise your CV and cover letter for the Junior Data Analyst role. Highlight your SQL skills, any experience with Python, and your understanding of data-driven decision-making. We want to know how you fit into our fintech world!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make your skills and experiences stand out. We appreciate straightforward communication, just like we do in our data analysis!
Apply Through Our Website: Don’t forget to apply 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 a few clicks and you’re done!
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 approached problem-solving in the past. Think about times when you identified anomalies in data or made recommendations based on your findings. This will demonstrate your analytical mindset and ability to contribute to decision-making.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You might be asked to present your findings during the interview, so being able to communicate clearly and visually is key. Use storytelling techniques to make your data analysis engaging.
✨Emphasise Continuous Learning
Express your enthusiasm for learning and growing in the field of data analytics. Mention any recent courses, certifications, or personal projects that showcase your commitment to expanding your analytical toolkit and staying updated with industry trends.