Remote Junior/Mid Data Analytics Engineer

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EXUS

πŸ“Remote - Spain

Job highlights

Summary

Join our dynamic Data Analytics Team as we expand our capabilities into data Lakehouse architecture. We are seeking a Junior/Mid Data Analytics Engineer who is enthusiastic about creating compelling data visualizations, effectively communicating them with customers, conducting training sessions, and gaining experience in managing ETL processes for big data.

Requirements

  • A BSc or MSc degree in Computer Science, Engineering, or a related field
  • 1-5 years of experience with data visualization tools and techniques. Knowledge of MicroStrategy and Apache Superset is a plus
  • 1-5 years of experience with Data Warehouses, Big Data, and/or Cloud technologies. Exposure to these areas in academic projects, internships, or entry-level roles is also acceptable
  • Familiarity with PL/SQL and practical experience with SQL for data manipulation and analysis. Hands-on experience through academic coursework, personal projects, or job experience is valued
  • Familiarity with data Lakehouse architecture
  • Excellent analytical skills to understand business needs and translate them into data models
  • Organizational skills with the ability to document work clearly and communicate it professionally
  • Ability to independently investigate new technologies and solutions
  • Strong communication skills, capable of conducting presentations and engaging effectively with customers in English
  • Demonstrated ability to work collaboratively in a team environment

Responsibilities

  • Develop and maintain reports and dashboards using leading visualization tools, and craft advanced SQL queries for additional report generation
  • Deliver training sessions on our Analytic Solution and effectively communicate findings and insights to both technical and non-technical customer audiences
  • Collaborate with business stakeholders to gather and analyze requirements
  • Debug issues in the front-end analytic tool, investigate underlying causes, and resolve these issues
  • Monitor and maintain ETL processes as part of our transition to a data lakehouse architecture
  • Proactively investigate and implement new data analytics technologies and methods

Benefits

  • Competitive salary
  • Friendly, pleasant, and creative working environment
  • Remote Working
  • Development Opportunities
  • Private health insurance allowance
  • Unlimited time off

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