Entry Level Data Analyst jobs in United Kingdom

At Verto, we're on a mission to democratise global finance and empower businesses in Emerging Markets to reach the world. Founded by British-Nigerian entrepreneurs Ola Oyetayo and Anthony Oduu, our roots in Africa provided a firsthand understanding of the significant challenges businesses face with cross-border payments, from illiquid currencies and high fees to slow transactions. This deep-rooted insight is why Africa remains a core focus, as we're committed to bridging the gap between emerging and developed markets and fostering global economic growth.

What started as an FX solution for the Nigerian Naira has evolved into a market-leading platform, enabling thousands of businesses to seamlessly transfer billions of dollars annually. We believe that where you do business shouldn’t determine your success or ability to scale. We're creating equal access to the easy payment and liquidity solutions that are already a given in developed markets.

We're not alone in realising this crucial need; we're backed by world-class investors including Y-Combinator, Quona, and MEVP. Our impact has been recognised with accolades such as 'Fintech Start-Up of the Year' and the Milken-Motsepe Prize, a testament to our role in powering payments for some of the world's most disruptive startups. Join us as we continue to grow and transform global finance.

This role is critical for building a best-in-class data-led culture, leveraging advanced analytics to drive strategic decisions, influence Verto's product roadmap, and enable long-term scalability.

We are seeking a driven and results-oriented Data Analyst to take ownership of key analytics projects, from building predictive models for LTV and churn to enabling business teams to make confident, data-backed decisions.

• Own the full lifecycle of data analytics projects, from scoping and design to execution and communicating conclusions to stakeholders.

• Conceptualize, build, and iterate on advanced analytics models for LTV, retention, and churn to drive business strategy.

• Design, build, and maintain KPI trees and supporting dashboards to track north-star metrics and democratize access to insights.

• Contribute to analytics engineering responsibilities, including the maintenance and improvement of data models and tables, particularly using dbt.

• Collaborate with Product, Engineering, and other business teams to define data requirements, measure feature performance, and ensure data integrity.

• Define and champion best practices in data analysis, visualization, storytelling, and overall data culture

• 3+ years of professional data analytics experience or equivalent.

• Expert proficiency in SQL, including query efficiency and optimization.

• Expert experience with data visualization tools (e.g., Tableau, Looker, Power BI).

• Proven experience designing and executing A/B tests and providing statistical analysis.

• Proven experience with dbt and version control using Git.

• Strong foundation in statistical analysis and/or machine learning principles.

• Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

• Professional experience within the FinTech or Finance industry.

• Experience with Python for data analysis (e.g., Pandas, NumPy, Scikit-learn).

• Specific domain experience within the Foreign Exchange (FX) industry.

• Familiarity with the Snowflake data stack.

We’re building more than just a team, we’re building a community of people who care deeply about their craft, collaborate with purpose, and enjoy the journey together.

• Competitive salary and yearly salary review based on inflation, personal and business performance.

• Comprehensive health and wellness benefits.

• Flexible working arrangements.

• Opportunities for professional development and growth.

• Dynamic and inclusive company culture.

• Regular team social events.

• Love asking “why?”

• Value solving problems over just completing tasks

• Understand sync vs. async communication practices

• Thrive in ambiguity and change

• Actively seek feedback

• Prioritise impact over activity

• Are fun to work with - we love good humour!

It will have (in no strict order) a chat with the talent team, an online assessment round, a hiring manager interview round and a panel round (with a case study)