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 dashboards 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

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.

Full-time remote work opportunities and flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive Mental Health Programme
Free online English lessons with a native speaker
Generous referral program
Training, internal workshops, and participation in international professional conferences and corporate events.

Data Analyst – Middle

Key skills