Overview:
FinteqHub is looking for a data analyst who can turn numbers into real business insights. If you have a sharp eye for patterns, enjoy improving processes through analytics, and love visualizing data in a clear and actionable way – we’d love to have you on our team!
About Product:
The Payment Gateway is part of our growing fintech software and payment management system. The team works on providing clients with a payment platform designed to help online businesses manage and process monetary transactions worldwide.
Purpose of the role:
You’ll work with payment data, build dashboards, contribute to analytics tool development, and collaborate closely with teams across the company.
Key responsibilities:
- Develop new analytics dashboards with various metrics and maintain and improve both existing and new dashboards
- Perform daily monitoring of statistics based on key parameters
- Work on new features to deliver additional business metrics
- Analyze and identify patterns in payment-related issues and create detailed reports
- Analyze transaction data and payment trends to identify opportunities for process improvements and revenue optimization
- Collaborate with cross-functional teams to gather data requirements and ensure data integrity and accuracy
- Design and maintain data visualization dachboards to provide actionable insights to internal stakeholders and clients
- Conduct ad hoc analysis to support business initiatives, product development, and client requests
- Stay updated on industry trends, emerging technologies, and best practices in data analysis and payment processing
- Assist in the development and implementation of machine learning models and predictive analytics to enhance payment routing strategies
- Collaborate with team members to identify opportunities and develop solutions for automating existing workflows and processes
Required Experience:
- Higher or incomplete higher education, preferably in a technical field
- English proficiency at Upper Intermediate level or higher
- Understanding of technologies, protocols, and data formats used in modern IT systems (HTTP, JSON, SQL, REST, etc.).
- Ability to present business and technical issues, ideas, and recommendations in verbal, written, and presentation formats using storytelling and logical arguments
- Understanding of software development life cycles and processes
- Experience with data tools such as Tableau (preferred), Power BI, PostHog, ClickHouse or similar platforms
- Knowledge of statistical techniques and predictive modeling methodologies
Nice to have:
- Proven experience in data analysis; experience in fintech or payment processing
- Proficiency in programming languages such as R or Python for data analysis and process automation
- Basic programming knowledge (data types, basic operators, functions)
- Knowledge of AI applications relevant to analytics and process optimization
Learn more about our hiring process here – what to expect, how to prepare, and what makes SOFTSWISS different.