Data Analyst – Middle

SOFTSWISS; Warszawa; Remote; PLN 60,000 - 80,000; Full time

Job summary

A fintech company based in Warsaw is looking for a data analyst to turn data into actionable insights. This role involves developing dashboards, analyzing payment trends, and collaborating with teams. Ideal candidates have a technical background and experience with data visualization tools like Tableau. The position offers full-time remote work, private insurance, and flexible hours.

Benefits

Full-time remote work opportunities

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 and workshops

Qualifications

• English proficiency at Upper Intermediate level or higher.
• Understanding of technologies, protocols, and data formats used in modern IT systems.
• Knowledge of statistical techniques and predictive modeling methodologies.

Responsibilities

• Develop new analytics dashboards and maintain existing ones.
• Perform daily monitoring of statistics based on key parameters.
• Analyze transaction data and payment trends for process improvements.

Skills

Analytical skills

Data visualization

Communication skills

Problem-solving

Education

Higher or incomplete higher education, preferably in a technical field

Tools

Tableau

Power BI

SQL

Python

Job description

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:

Payment Gateway (FinteqHub):

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 metricsAnalyze 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, ClickHouseor 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 andprocess automation
• Basic programming knowledge (data types, basic operators, functions)
• Knowledge of AI applications relevant to analytics and process optimization

Our Benefits:

• 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

Learn more about our hiring process here – what to expect, how to prepare, and what makes SOFTSWISS different.