Senior Data Analyst: Revenue & Growth Insights Architect

CurrencyFair LTD.

Dublin

On-site

EUR 90,000 - 130,000

Full time

6 days ago

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Job summary

CurrencyFair LTD. is seeking a Senior Data Analyst to turn data into measurable business impact.

You will own data infrastructure, build reliable datasets and Tableau dashboards, and collaborate with Product, Engineering, Marketing and Finance to drive growth and regulatory reporting. Ideal candidates bring 5+ years in analytics within fintech or digital services, strong SQL, Python, and experience with DBT and AWS EC2 Linux.

Qualifications

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.

Responsibilities

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.