Amazon Business Intelligence Engineer GREF 

United Kingdom, England, London 

313101660

Key job responsibilities
• Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements
• Implement efficient data pipelines, ETL processes, and data warehousing solutions to ensure the seamless flow of data from diverse sources
• Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight
• Apply advanced analytics techniques, including statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends within GREF's data
• Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization
• Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities
• Mentor and guide more junior BI team members, sharing domain expertise and best practices

- • Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field
- • 6+ years of experience as a Business Intelligence Engineer or similar senior-level role
- • Demonstrated expertise in designing and implementing complex BI architectures and data models
- • Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake)
- • Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages
- • Excellent problem-solving, critical thinking, and analytical skills
- • Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- • Experience collaborating with cross-functional teams to deliver successful BI initiatives

- • Extensive experience with Amazon QuickSight
- • Expertise in advanced analytics techniques, such as machine learning and predictive modeling
- • Background in the real estate or workplace industry
- • Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure)
- • Proven track record of mentoring and leading more junior BI professionals