At CurrencyFair, we're passionate about revolutionising the way people send and receive money around the world. As a peer-to-peer currency exchange, we're making it easier and more affordable for individuals and businesses to transfer funds across borders. We're looking for talented individuals who share our vision and want to join us in disrupting the traditional financial services industry. If you're excited about the prospect of using your skills to help people save money and time, we'd love to hear from you.

We’re looking for a commercially minded Senior Data Analystto join our team and help turn data into measurable business impact. You’ll work closely with Product, Engineering, Marketing, Finance and Operations to uncover insights, identify opportunities for growth, meet regulatory reporting requirements and help us make smarter commercial decisions.

Our tech stack is AWS Redshift, DBT, SQL, Python, Ubuntu, AWS Cloud, Tableau and we have a dedicated analytics infrastructure in place which combines app, trade and clickstream data in a unified view.

As part of the team you will work across all parts of the business including operations, compliance, marketing, finance and product development.

You’ll take ownership of complex analytical problems, from financial reconciliation to customer conversion and revenue growth and develop actionable insights from large datasets to influence decisions across the business.

This role is ideal for someone who combines strong analytical and technical skills with commercial curiosity, critical thinking and has the ability to translate complex findings into clear recommendations for both technical and non-technical stakeholders.

Key responsibilities include:

Manage the entire data infrastructure to ensure reliability and availability at all times including data warehouse architecture and ETL pipelines using DBT.
Build and maintain reliable, scalable analytical datasets, dashboards and Tableau reports that provide clear visibility into business and product performance.
Build and maintain Tableau reports and executive dashboards to support business insights, as well as financial and regulatory reporting.
Maintain data governance including a data dictionary and change control management to ensure effective use of data across the organisation.
Analyse revenue, transaction volumes, foreign exchange margins, customer activity and profitability to identify opportunities for sustainable growth.
Identify the key drivers of revenue, including customer segments, currencies, corridors, transaction sizes, frequency and customer behaviour.
Promote a data-driven culture by helping colleagues develop their analytical capabilities and use data more effectively in their day-to-day roles.
Engaging with the stakeholders across the business to communicate insights and business impacts using data models that support data-driven decision-making.
Engage with business stakeholders to understand requirements and identify opportunities that support business process automation using AI.

Key stakeholders

Head of Product & Engineering
Engineering Team
Chief Financial Officer
Chief Revenue & Customer Success Officer
Chief Risk Officer
Key Requirements for success
Bachelor’s degree in Computer Science, Statistics, Mathematics or a related technical field, or equivalent experience.
5+ years experience in a data analytics, product analytics, commercial analytics or business intelligence role, ideally within fintech, payments, financial services or another digital business.
Strong SQL skills, including the ability to query, manipulate and analyse large, complex datasets efficiently.
Working knowledge of Python is an advantage.
Strong experience with data visualisation tools e.g. Tableau
Experience in ETL and building data models (DBT preferred).
Expertise with fundamental statistical analysis.
Experience working with AWS EC2 Linux instances.
Experience working in a scaling startup environment.
Strong ability to balance conflicting priorities and work with tight deadlines.
Exposure to AI tools (e.g. Claude, Gemini, ChatGPT etc.)
Proven ability to turn ambiguous business questions into structured analysis and actionable insights.
Experience measuring the impact of product changes, pricing initiatives, marketing campaigns or other commercial initiatives.

The organisation is committed to diversity and inclusion. By providing equal opportunities we foster a work environment which embraces diversity and gets the best out of the broadest spectrum of people to sustain business performance and competitive advantage. We build an inclusive culture by demonstrating respect for each other’s unique strengths and perspectives to enable every employee to develop a sense of belonging and have the opportunity to maximise their potential.

Excellent communication skills, with the ability to explain complex analysis clearly and influence stakeholders at all levels, including senior management.
A growth mindset and proactive approach to identifying and solving complex business challenges.
Proven ability to translate business data requirements into real solutions through project ownership and delivery.
A proactive, curious and pragmatic approach, with a strong sense of ownership and focus on delivering business impact rather than simply producing reports.

Senior Data Analyst

Job Description