BI Analyst
Nebius Group
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a BI Analyst. As a BI Analyst, you will support and evolve Nebius’ HR and Finance analytics ecosystem. The company already has an established dashboard landscape, and this role focuses on increasing adoption, improving existing dashboards, and developing new analytical solutions as business needs evolve. You will partner closely with HR and Finance teams to ensure dashboards are reliable, widely used, and aligned with business decision-making. Your work will include maintaining and enhancing Tableau dashboards, improving data sources and models, and helping stakeholders translate business questions into scalable BI solutions.
You’re welcome to work in our offices in Amsterdam.
Your responsibilities will include:
- Dashboard ownership and development. Maintain and evolve the existing portfolio of HR and Finance dashboards in Tableau. Improve usability, performance, and data accuracy while ensuring dashboards remain aligned with metric definitions and BI standards
- Dashboard adoption and enablement. Drive adoption of BI tools by helping stakeholders understand and use dashboards effectively. Provide demos, documentation, and guidance to enable self-service analytics.
- New analytics development. Identify reporting gaps and build new dashboards and analytical views that support evolving business needs.
- Data modeling and data source development. Write SQL queries and contribute to data transformations in Postgres and dbt. Improve data sources used by dashboards and ensure reliable metric calculations.
- Data quality and validation. Validate dashboard outputs and data sources through testing and QA processes. Ensure metrics remain consistent, reliable, and aligned with business definitions.
- Stakeholder collaboration. Work closely with HR and Finance teams to translate business questions into clear analytical requirements and BI solutions.
- AI-assisted analytics. Use AI tools to accelerate SQL development, data exploration, dashboard prototyping, and analysis workflows.
We expect you to have:
- Strong Tableau experience with the ability to design complex dashboards that support business decision-making.
- Strong SQL skills and ability to write complex queries and work with large datasets.
- Understanding of data modeling concepts and transformation workflows (experience with dbt or similar tools is a plus).
- Strong data visualization skills and knowledge of best practices for communicating insights through dashboards.
- Experience collaborating with business stakeholders to gather requirements and translate them into analytical solutions.
- High attention to detail and strong 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
It will be an added bonus if you have:
- Experience working with HR or Finance data (headcount, payroll, financial reporting, budgeting, P&L, etc.).
- Experience working with modern data stacks (dbt, Postgres, Git).
- Tableau certification or Tableau Public portfolio.
- Familiarity with the work of well-known data visualization authors such as 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.
Competencies & Behavioral Traits
- Ownership & accountability. Treat dashboards as products: maintain them proactively, ensure reliability, and continuously improve their usefulness.
- Structured problem solving. Translate business questions into clear analytical tasks, metrics, and dashboard designs.
- Clear stakeholder communication. Present analytical insights in a simple, actionable format that supports business decisions.
- Continuous improvement mindset. Actively seek opportunities to improve BI processes, data quality, and reporting practices.
Benefits & Perks:
- 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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
About this role
Nebius is seeking a BI Analyst to own and evolve the HR and Finance analytics ecosystem at a Nasdaq-listed AI cloud infrastructure company. You'll work primarily with Tableau dashboards, SQL, and data modeling tools like dbt and Postgres to maintain existing reporting, drive user adoption, and build new analytical solutions as business needs emerge. The role sits at the intersection of technical analytics work and stakeholder collaboration—translating business questions from HR and Finance teams into reliable, scalable BI solutions while ensuring data quality and metric consistency across the dashboard portfolio.
Your day-to-day will blend dashboard development and maintenance with data source improvement, SQL query writing, and hands-on data quality validation. You'll partner closely with business teams to understand their reporting gaps, help them use analytics tools effectively through demos and documentation, and leverage AI tools to accelerate your own analytical workflows. The position values ownership and proactive problem-solving—treating dashboards as products that need continuous improvement rather than one-time deliverables.
Strong Tableau and SQL skills are essential, along with experience translating business requirements into analytical designs and communicating insights to non-technical audiences. Prior exposure to HR or Finance data, modern data stacks, and metric governance practices would strengthen your candidacy. This is a full-time, in-office role based in Amsterdam.
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable BI Analyst postings in Amsterdam, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.