Company Overview

The organisation operates in the financial technology sector, developing digital financial products and services supported by data-driven decision-making. Its focus is on transforming financial and operational data into actionable insights that improve product performance, customer experience, risk management and business efficiency.

Role Summary

The Senior Fintech Data Analyst will analyse financial, transactional and customer data to identify trends, evaluate business performance and support strategic decisions across digital financial products. The role involves developing analytical reports, building performance dashboards and collaborating with product, finance, operations and risk teams to improve the quality and usefulness of business intelligence.

Key Responsibilities

• Analyse transaction, customer, revenue and operational datasets to identify trends and performance opportunities.

• Develop dashboards and recurring reports covering key fintech performance indicators.

• Write and optimise SQL queries to extract, transform and validate data from multiple sources.

• Investigate changes in customer behaviour, transaction volumes, conversion rates and product engagement.

• Collaborate with product and operations teams to define metrics and evaluate business initiatives.

• Conduct root-cause analysis of performance variations, data inconsistencies and operational bottlenecks.

• Maintain clear documentation of analytical methodologies, metric definitions and reporting processes.

• Present findings and recommendations to technical and non-technical stakeholders.

Requirements and Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science, Finance or a related field.

• At least three years of experience in data analysis, preferably within fintech, banking, payments or financial services.

• Strong SQL skills and practical experience with data visualisation tools such as Power BI, Tableau or Looker.

• Proficiency in Excel and experience working with large, structured datasets.

• Understanding of financial metrics, transaction lifecycles and digital financial products.

• Familiarity with Python or R for statistical analysis is an advantage.

• Strong analytical reasoning, attention to detail and communication skills.

Benefits

• Remote working arrangement within Estonia.

• Competitive compensation based on experience and qualifications.

• Opportunities for professional training and technical development.

• Collaborative environment involving data, product and financial technology specialists.

• Opportunity to influence business decisions through meaningful data insights.

Application Instructions

Applicants should submit an up-to-date CV and a concise cover letter outlining their analytical experience, technical skills and relevant achievements. Candidates may highlight experience with SQL, dashboard development, financial datasets and measurable improvements resulting from their analysis.

Are you interested in this position?

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