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 decisions.
- Benefits: Competitive salary, stock options, paid leave, and the latest tech to work with.
- Other info: Enjoy autonomy, mentorship, and opportunities for continuous learning.
- Why this job: Kickstart your analytics career and make a real impact on our products and operations.
- Qualifications: 1-3 years in analytics, strong SQL skills, and a passion for problem-solving.
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 employer: ARQ
ARQ is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London, where innovation meets opportunity. Employees benefit from competitive salaries, stock options, and a clear pathway for professional growth, all while contributing to a mission that aims to transform global financial interactions. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 data analysis projects. Include dashboards, reports, or any cool visualisations you've made. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 — it’s all about storytelling with data!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your passion for data and how you can contribute to our team!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Your Curiosity:We want to see your analytical curiosity shine through in your application. Share examples of how you've explored data or uncovered insights in previous roles or projects. This will help us understand your passion for data and problem-solving!
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience, especially your SQL skills and any analytics tools you've used. We love seeing how your background aligns with what we're looking for, so don’t hold back!
Communicate Clearly:Good communication is key in this role! When writing your application, aim to explain your experiences and insights clearly and concisely. Use visuals if you can, as it shows you can present data effectively — a crucial skill for a Data Analyst.
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 gives you a chance to explore more about our company and culture!
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 Power BI or Metabase, be prepared to share specific examples of how you've created dashboards or reports.
✨Show Your Analytical Curiosity
During the interview, demonstrate your passion for data analysis 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 enjoys exploring data.
✨Communicate Clearly
Since good communication skills are essential for this role, practice explaining complex data insights in simple terms. You might want to prepare a few examples where you successfully communicated your findings to non-technical stakeholders. Visual aids can also help, so consider bringing a portfolio of your work if applicable.
✨Emphasise Continuous Learning
ARQ is looking for someone eager to grow, so highlight your commitment to continuous learning. Share any recent courses, workshops, or self-study you've undertaken related to analytics, fintech, or machine learning. This shows that you're proactive and ready to expand your skill set in a fast-paced environment.
