Offer summary

Qualifications:

Higher or incomplete higher education in a technical field., Proficiency in English at Upper Intermediate level or higher., Experience in data analysis, preferably in fintech or payment processing., Familiarity with programming languages like R or Python and data visualization tools such as Tableau or Power BI..

Key responsibilities:

Develop and maintain analytics dashboards with various metrics.

Monitor statistics daily and analyze transaction data for process improvements.

Collaborate with cross-functional teams to gather data requirements and ensure data integrity.

Conduct ad hoc analysis to support business initiatives and assist in machine learning model development.

Job description

Overview:

SOFTSWISS is hiring a Data Analyst to join our Data and Analytics Department.
You’ll work on FinteqHub product, contributing to our continued growth and innovation.

About Product:

FinteqHub

А PCI DSS certified payment gateway for online businesses, providing integration with payment systems via a single software platform.
Learn more

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.
Analyse and identify patterns in payment-related issues and create detailed reports.
Analyse transaction data and payment trends to identify opportunities for process improvements and revenue optimisation.
Collaborate with cross-functional teams to gather data requirements and ensure data integrity and accuracy.
Design and maintain data visualisation 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.

Required Experience:

Higher or incomplete higher education, preferably in a technical field.
English proficiency at Upper Intermediate level or higher.
Proven experience in data analysis; experience in fintech or payment processing is a plus.
Proficiency in programming languages such as R or Python for data analysis and process automation is a plus.
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.
Basic programming knowledge (data types, basic operators, functions) is a plus.
Experience with data visualisation tools such as Tableau (preferred), Power BI, or similar platforms.
Knowledge of statistical techniques and predictive modelling methodologies.

About us:

SOFTSWISS is an international company, an iGaming software expert. We don't only follow iGaming market trends, we create them! SOFTSWISS is a recognised industry leader in iGaming software solutions development, covering almost all aspects of the iGaming industry. The company has an international team and an official presence in several countries. Projects powered by SOFTSWISS receive numerous awards and accolades from industry media.

Our Mission:

Changing the iGaming industry through technological innovation.

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.