BI Developer @ Capital.com

22 hours ago

Warszawa, Czech Republic Capital.com Full time
  • Tableau: strong understanding of data connections, table calculations, LOD expressions, parameter and set actions
  • SQL: basic knowledge of joins, aggregations and window functions
  • Design and UX: familiarity with best practices, Gestalt principles, data-ink ratio, and other key data visualization concepts
  • Troubleshooting and user support: ability to quickly diagnose and fix issues in reports, as well as assist users in real time via chat

Nice to have

  • Python: basic understanding of data types, functions, APIs, pandas, numpy and databases
  • Change management: understanding of processes and best practices
  • Experience with ETL/Airflow/GitLab
  • Experience in support roles would be beneficial

Our BI team is part of the Data Platform team. We are responsible for reporting for Product and Marketing teams and Tableau Server performance. Our mission is to deliver insightful data visualizations that answer business questions and help stakeholders make data-driven decisions to support growth. We focus on speeding up decision-making processes with accurate data, applying best practices for data visualization and dashboard performance.
Tools we use: TableauSQL: PostgreSQL, AWS RedshiftPythonGitLabAirflowJira/Confluence/Slack

,[Design and develop interactive, insightful, and visually appealing Tableau dashboards, Collaborate with analysts and data engineers to design, build, and optimize data sources, Unify and refactor existing dashboards using a style guide and ensuring best practices (documentation available), Optimize dashboard performance and scalability, Gather requirements and feedback for dashboards from analysts and stakeholders, Provide guidance and support to business users, Quickly respond to user-reported bugs and resolve them in a timely manner, Support users by answering their questions and addressing issues in chat, Optional: Automate manual tasks using Python] Requirements: Tableau, SQL, UX design, Python

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