Data Analyst

Paysera Business; Georgia (VT); Remote; USD 70,000 - 95,000; Full time

Job summary

A leading FinTech company is seeking an experienced Data Analyst to provide analytics support across business units. The candidate will work with SQL, Python, and AI tools to analyze complex datasets and provide insights for decision-making. The role emphasizes collaboration and data integrity.

Benefits

Flexible working hours

Full remote work possibilities

Skill-building workshops

Freedom to experiment with AI tools

Growth-focused culture

Qualifications

• 2-5 years of relevant experience in data analytics or similar roles.
• Experience in banking or fintech industry is mandatory.
• Strong verbal and written English fluency.

Responsibilities

• Automate data retrieval for monthly performance reports.
• Develop dashboards for real-time monitoring of business metrics.
• Analyze transactional data to identify patterns.

Skills

SQL

Python

Data Visualization

AI Tools

Descriptive Statistics

Education

Bachelor's or Master's degree in Mathematics, Economics, Statistics

Tools

Redash

Grafana

ClickHouse

Job description

About us:

Paysera is the first FinTech company in Lithuania and an EU licensed e-money institution. We provide fast, convenient, and affordable financial services globally. Our services range from a payment gateway for e-shops, a finance management app, money transfers, and a parcel locker network. Make sure to check out all of our products in more detail on our website.
With over 1 million app installs and growing, we aim to become an industry-leading super app that provides financial and lifestyle services across the globe. At Paysera, we are a start-up minded team, which means we thrive in a fast-paced environment and seek open communication while placing great focus on establishing our core company values. Join our vibrant international team of +700 people across +20 different cities, worldwide.

We are looking for a skilled and impact-driven Data Analyst to join Paysera's Data Department, providing dedicated analytics support to Paysera business units. You will work closely with cross-functional teams to extract, analyse, and visualise complex datasets using SQL, Python, and AI tools, delivering actionable insights that optimize product performance and improve operational efficiency. This role requires curiosity, a strategic mindset, and the ability to turn data into meaningful narratives to support data-driven decision-making across the organization.

Your key responsibilities:

• Automate data retrieval and preparation for monthly operational and performance reports across various product lines;
• Prepare comprehensive datasets for quarterly and annual business and regulatory reporting;
• Generate datasets and supporting analyses for strategic business decisions and product development initiatives;
• Identify trends and opportunities for improvement
• Develop and maintain dashboards for real-time monitoring of critical business metrics;
• Replicate and customize data retrieval, analysis, and reporting processes for different product verticals and engineering teams;
• Analyze transactional and behavioral data to identify patterns and develop insights that guide product and business strategy;
• Ensure data integrity through rigorous investigation and automation of data pipeline processes;
• Collaborate closely with Engineering and Business teams to deliver customized analytical solutions;
• Provide analytical expertise and support on cross-functional projects requiring in-depth data insights;
• Create detailed, accurate ad-hoc reports responding promptly to urgent business data requests;
• Actively utilize AI tools to optimize data workflows and analytical processes.

What we're looking for:

• 2-5 years of relevant experience in data analytics or similar roles;
• proficiency in SQL for querying and analyzing structured data;
• Experience in banking or fintech industry is mandatory;
• Solid understanding of descriptive statistics;
• Demonstrated ability to translate complex business questions into structured, insightful reporting;
• AI-Tools knowledge and experience is mandatory;
• Strong visualization skills with proficiency in tools such as Redash or Grafana;
• Deep understanding of data accuracy, ensuring reliable and consistent analytics;
• Experience handling financial and operational datasets to support comprehensive business reporting;
• Highly organized, meticulous attention to data accuracy and integrity;
• Strong verbal and written English fluency, able to clearly present insights to non-technical stakeholders;
• Excellent interpersonal skills and the ability to build strong relationships with internal stakeholders.

Nice-to-Have:

• Bachelor's or Master's degree in Mathematics, Economics, Statistics, or related fields;
• Proficiency with Python for data analysis, visualization, and automation;
• Familiarity with ClickHouse or similar data analytics platforms;
• Expertise applying advanced statistical methods to solve real-world business challenges;
• Passion for fintech innovations and mission-driven initiatives.

What we offer:

Work-life Balance: strive for balance with flexible working hours and full remote work possibilities.

Innovation and Development: participate in skill-building workshops and have freedom to experiment with various AI tools.

Growth-focused Culture: thrive within a highly professional, quality-oriented, and dynamic team and pursue your potential and innovative ideas in a fast-growing, international company.

For candidates:

Only selected candidates will be contacted, but we are grateful to all who send their CV.

About us:

Paysera is the first FinTech company in Lithuania and an EU licensed e-money institution. We provide fast, convenient, and affordable financial services globally. Our services range from a payment gateway for e-shops, a finance management app, money transfers, and a parcel locker network. Make sure to check out all of our products in more detail on our website.
With over 1 million app installs and growing, we aim to become an industry-leading super app that provides financial and lifestyle services across the globe. At Paysera, we are a start-up minded team, which means we thrive in a fast-paced environment and seek open communication while placing great focus on establishing our core company values. Join our vibrant international team of +700 people across +20 different cities, worldwide.

We are looking for a skilled and impact-driven Data Analyst to join Paysera's Data Department, providing dedicated analytics support to Paysera business units. You will work closely with cross-functional teams to extract, analyse, and visualise complex datasets using SQL, Python, and AI tools, delivering actionable insights that optimize product performance and improve operational efficiency. This role requires curiosity, a strategic mindset, and the ability to turn data into meaningful narratives to support data-driven decision-making across the organization.

Your key responsibilities:

• Automate data retrieval and preparation for monthly operational and performance reports across various product lines;
• Prepare comprehensive datasets for quarterly and annual business and regulatory reporting;
• Generate datasets and supporting analyses for strategic business decisions and product development initiatives;
• Identify trends and opportunities for improvement
• Develop and maintain dashboards for real-time monitoring of critical business metrics;
• Replicate and customize data retrieval, analysis, and reporting processes for different product verticals and engineering teams;
• Analyze transactional and behavioral data to identify patterns and develop insights that guide product and business strategy;
• Ensure data integrity through rigorous investigation and automation of data pipeline processes;
• Collaborate closely with Engineering and Business teams to deliver customized analytical solutions;
• Provide analytical expertise and support on cross-functional projects requiring in-depth data insights;
• Create detailed, accurate ad-hoc reports responding promptly to urgent business data requests;
• Actively utilize AI tools to optimize data workflows and analytical processes.

What we're looking for:

• 2-5 years of relevant experience in data analytics or similar roles;
• proficiency in SQL for querying and analyzing structured data;
• Experience in banking or fintech industry is mandatory;
• Solid understanding of descriptive statistics;
• Demonstrated ability to translate complex business questions into structured, insightful reporting;
• AI-Tools knowledge and experience is mandatory;
• Strong visualization skills with proficiency in tools such as Redash or Grafana;
• Deep understanding of data accuracy, ensuring reliable and consistent analytics;
• Experience handling financial and operational datasets to support comprehensive business reporting;
• Highly organized, meticulous attention to data accuracy and integrity;
• Strong verbal and written English fluency, able to clearly present insights to non-technical stakeholders;
• Excellent interpersonal skills and the ability to build strong relationships with internal stakeholders.

Nice-to-Have:

• Bachelor's or Master's degree in Mathematics, Economics, Statistics, or related fields;
• Proficiency with Python for data analysis, visualization, and automation;
• Familiarity with ClickHouse or similar data analytics platforms;
• Expertise applying advanced statistical methods to solve real-world business challenges;
• Passion for fintech innovations and mission-driven initiatives.

What we offer:

Work-life Balance: strive for balance with flexible working hours and full remote work possibilities.

Innovation and Development: participate in skill-building workshops and have freedom to experiment with various AI tools.

Growth-focused Culture: thrive within a highly professional, quality-oriented, and dynamic team and pursue your potential and innovative ideas in a fast-growing, international company.

For candidates:

Only selected candidates will be contacted, but we are grateful to all who send their CV.

Seniority level

L2 - Middle

Location

Bulgaria, Georgia, Poland, Romania

Depends on candidate's experience and competence