Business Intelligence Engineer
hace 2 días
**_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 up-to-date with the latest trends and best practices in Business Intelligence and Data Analytics
**_ Skills_**
- Strong analytical and problem-solving 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 data-driven decision-making
- Understanding of iGaming industry (desirable, but not required)
**_ Experience_**
- At least 3-5 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 data-driven 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 deep-tech startups
- Work with rock stars (senior-level 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 & company-wide team events
**_ Allocation_**: 0.375 - 0.5 FTE
- The salary rate will depend on your location and the success of the passing interview._
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