Data Analyst

Why work at Nebius:

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work

:Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team

.
Role Overvie

w:
As a Data Analyst at our company, you will play a key role in shaping our product strategy and transforming raw data into actionable insights. We are an AI cloud provider offering GPU capacity, PaaS services, and SaaS APIs for ML models, with rapid growth anticipated in both our B2B and B2C markets. Your expertise will empower us to better understand customer behavior, optimize digital traffic for our marketing team, and enhance overall marketing performan

ce.
Key Responsibiliti

es:
Analyzing Data & Uncovering Ins

• ightsData Exploration: Dive into large datasets to identify patterns and trends in user behavior, marketing performance, and platform interact
• ions.Ownership: Take full responsibility for analytical solutions while collaborating closely with the UX and Marketing t

eams.
End-to-End Ana

• lyticsData Solutions: Build robust data solutions—from developing data pipelines to creating dashboards—that drive data-informed decision-m
• aking.SQL & Workflow Optimization: Write efficient SQL queries and optimize data workflows using ClickHouse, Spark, TractoAI (based on the YTSaurus database), or similar sy
• stems.Data Visualization: Leverage BI tools (such as Tableau, Power BI, or similar) to design clear and compelling visualiza

tions.
Cross-Functional Collab

• orationTeamwork: Work closely with teams across the organization to define analytical requirements and deliver strategic in
• sights.Prioritization: Prioritize analytical research projects based on their potential impact on customer expe
• rience.Reporting: Explain and support existing analytical r

eports.
Tools Implem

• entationInnovation: Experiment with new tools and technologies to drive innovative analytics solutions that meet business requirements in terms of performance, scalability, and data

quality.

Key Qualifications &

• Experience
  Experience: 4+ years in a Data Analyst, Data Engineer, or a si
• milar role.Technical P
• roficiency:Strong
• SQL skills.Proficiency in Python for data processing and
• automation.Hands-on experience with ETL/ELT pipelines and data transformation
• workflows.Familiarity with BI tools (Tableau, Power BI, or similar) for creating impactful
• dashboards.Experience with Git for version control and Docker for container
• management.Analytical Skills: Ability to translate complex data into actionable insights and tell a compel
• ling story.Communication: Excellent written and verbal communication skills for effective collaboration with cross-functi
• onal teams.Work Style: A structured, independent approach to solving data
• challenges.Educational Background: A background in Mathematics and Economics is an

advantage.
Preferred qua

• lifications:
  Experience with marketing and
• UX analytics.Experience with Google Analytics or simi
• lar products.Knowledge of A/B testing, customer segmentation, and behav

ior analysis

• .
  Why Join Us?
  Shape the Future: Be at the forefront of AI-driven cloud analytics in a fast-g
• rowing company.End-to-End Ownership: Manage the full analytics process from data ingesti
• on to insights.Impact: See your work drive strategic decisions and fuel business growth across both B2B a
• nd B2C markets.Innovative Culture: Join a collaborative, data-driven team that values innovation and profession