At a Glance
- Tasks: Uncover insights from data and support decision-making in a fast-paced fintech environment.
- Company: Join ARQ, a dynamic fintech company focused on innovation and growth.
- Benefits: Competitive salary, latest tech, and a supportive team to enhance your skills.
- Other info: Opportunity for continuous learning and career progression in a collaborative setting.
- Why this job: Make a real impact by analysing data that shapes our products and strategies.
- Qualifications: 2-6 years in analytics, strong SQL skills, and a curious mindset.
The predicted salary is between 40000 - 50000 £ 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 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:
- 2-6 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.
Data Analyst - London employer: Castleisland
At ARQ, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters curiosity and innovation in the heart of London. As a Data Analyst, you'll not only have access to the latest technology but also benefit from a supportive team dedicated to your professional growth, ensuring you thrive in a fast-paced fintech environment. With competitive salaries and opportunities for continuous learning, ARQ is the perfect place for ambitious individuals eager to make a meaningful impact through data-driven decision-making.
