data analyst in payments

Planet provides integrated technology and payments solutions for retail and hospitality customers. Its payments, software, and tax-free solutions help businesses improve customer loyalty, increase revenue, and save time.

• Analyze large datasets to identify trends and patterns and generate actionable insights for stakeholders in Payments, DCC, Tax-Free, and Hospitality
• Design, build, and maintain scalable PowerBI dashboards that support decision-making
• Automate and optimize reporting and analytics processes using BI tools
• Lead projects independently from ideation through implementation, defining requirements and scope with stakeholders and delivering business value
• Translate requirements between technical teams and business stakeholders
• Collaborate with business teams to understand analytical needs and develop data-driven solutions
• Work with data engineering on efficient ETL pipelines, data governance practices, and scalable, reliable data models
• Stay updated on BI and analytics tools, methodologies, and best practices, and encourage innovation
• Mentor and teach team members and contribute to the growth of the BI Analytics function

• Advanced PowerBI expertise, including DAX, automated reports, and complex data-driven dashboards
• Strong SQL proficiency and experience working with large datasets in a cloud environment such as Snowflake
• Experience with data modelling and data pipeline processes using dbt or equivalent
• Basic knowledge of ETL processes and experience working with data engineers on scalable solutions
• Strong problem-solving skills and ability to propose creative, data-driven solutions
• Excellent communication and stakeholder management skills, including gathering business requirements and translating them into technical solutions
• Comfortable working independently in a fast-paced environment and managing multiple projects and stakeholders
• Comfortable adapting to changing business and technology environments
• Будет плюсом: Azure cloud services, Python automation, data governance and security best practices

• Long-term fixed-term contract
• Three days a week in the office