Paysera
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr