Business Intelligence Engineer

hace 2 semanas

En remoto, España Neurons Lab A tiempo completo

_Areas of Responsibility_

  • Collect and analyze data from various sources to support the NBA solution
  • Develop and implement a BI module using AWS QuickSight for the NBA solution
  • Create reports and dashboards to provide insights and recommendations for NBA solution
  • Ensure that the BI module meets the requirements and objectives of the project
  • Work closely with the development team and stakeholders to gather requirements and feedback
  • Identify and resolve data quality and integration issues
  • Optimize BI module performance and scalability
  • Stay uptodate with the latest trends and best practices in Business Intelligence and Data Analytics

_ Skills_

  • Strong analytical and problemsolving skills
  • Proficiency in SQL and experience with ETL processes
  • Knowledge of data warehousing concepts and best practices
  • Familiarity with cloud computing platforms, specifically AWS services (e.g., S3, Redshift, Glue, Lambda)
  • Proficiency in dashboard creation and data visualization tools, such as Tableau or Power BI, with a focus on AWS QuickSight
  • Strong communication and collaboration skills
  • Ability to work asynchronously

_ Knowledge_

  • Understanding of the principles of business intelligence and data analytics
  • Knowledge of data integration and data quality management
  • Familiarity with data modeling techniques and tools
  • Awareness of the latest trends and best practices in BI, data analytics, and datadriven decisionmaking
  • Understanding of iGaming industry (desirable, but not required)

_ Experience_

  • At least 35 years of experience in Business Intelligence and Data Analytics
  • Experience in developing and implementing BI solutions using AWS QuickSight
  • Experience in working with recommender systems or similar datadriven solutions
  • Experience in data modeling, data mining, and data visualization
  • Experience in working with large datasets and big data technologies.

_ We Offer_

  • Scientific or engineering challenges
  • Work with disruptive deeptech startups
  • Work with rock stars (seniorlevel engineers, Ph.
D.)

  • Meaningful social and environmental projects
  • Transparent, professional growth plan depending on your impact
  • Remote work from any location
  • Flexible working hours
  • Regular Team Building & companywide team events

_ Allocation_:

FTE

  • The salary rate will depend on your location and the success of the passing interview._

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