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Analytics Engineer

Key Facts

Remote From: 
Full time
English

Other Skills

  • Collaboration
  • Communication
  • Teamwork
  • Analytical Thinking
  • Problem Solving

Roles & Responsibilities

  • Experience building reusable, well-structured data models for analytics
  • Ability to collaborate with cross-functional teams including data engineers, data analysts, ML specialists, and stakeholders
  • Experience turning complex raw data into reliable models that support analytics at scale
  • Ability to bridge technical data work with business understanding to support decision-making

Requirements:

  • Build and maintain analytics engineering capabilities and reusable data models
  • Turn complex raw data into reliable models that enable scalable analytics
  • Collaborate closely with data engineers, data analysts, ML specialists, and stakeholders across business and product domains
  • Help translate business questions into well-structured data concepts and reusable analytics assets

Job description

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. 

About the team
 
For this role, you would join a team evolving how analytics is done across the business. We're building out the Analytics engineering capability to create reusable, well-structured data models that give teams a consistent foundation for decision-making. Instead of answering every question with one-off queries, we want to make important business concepts easier to understand and reuse across the organization.
You'll work in close collaboration with Data engineers, Data analysts, ML specialists, and stakeholders across both business and product domains. This role sits at the intersection of technical data work and business understanding, helping turn complex raw data into reliable models that can support analytics at scale.
 
What it’s like to work at Eneba

*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product. 
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. 

*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

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