About Nebius
Nebius builds a full-stack AI cloud platform that supports developers and enterprises from data and model training through production deployment. Its platform provides cloud infrastructure for the global AI economy without the cost and complexity of building large in-house AI/ML infrastructure.
Responsibilities
•Maintain and evolve the HR and Finance Tableau dashboard portfolio, improving usability, performance, and data accuracy while ensuring alignment with metric definitions and BI standards
•Drive BI tool adoption by providing demos, documentation, and guidance for self-service analytics
•Identify reporting gaps and build dashboards and analytical views to address evolving business needs
•Write SQL queries and contribute to data transformations in Postgres and dbt
•Improve dashboard data sources and ensure reliable metric calculations
•Validate dashboard outputs and data sources through testing and QA processes
•Work with HR and Finance teams to translate business questions into analytical requirements and BI solutions
•Use AI tools to accelerate SQL development, data exploration, dashboard prototyping, and analysis workflows
Requirements
•Strong Tableau experience designing complex dashboards for business decision-making
•Strong SQL skills, including writing complex queries and working with large datasets
•Understanding of data modeling concepts and transformation workflows
•Strong data visualization skills and knowledge of dashboard practices for communicating insights
•Experience collaborating with business stakeholders to gather requirements and develop analytical solutions
•High attention to detail and focus on data quality and metric consistency
•Strong communication skills and ability to explain analytical insights to non-technical audiences
•Working knowledge of spoken and written English
Nice to have
•Experience with HR or Finance data, modern data stacks such as dbt, Postgres, and Git
•Tableau certification or a Tableau Public portfolio
•Familiarity with data visualization authors including Edward Tufte, Alberto Cairo, Stephen Few, Tamara Munzner, or Cole Nussbaumer Knaflic
•Understanding of metric governance and BI best practices
•Interest in modern analytics workflows and AI-assisted analytics
Conditions
•Competitive compensation
•Career growth and learning opportunities
•Flexibility and ownership
•Collaborative and innovative culture
•Opportunity to work on impactful AI projects
•International environment and talented teams
