Senior Business Intelligence Engineer

4 weeks ago


London, Greater London, United Kingdom ENGINEERINGUK Full time

Job Summary

The Global Real Estate and Facilities (GREF) organization at ENGINEERINGUK is seeking a highly skilled Senior Business Intelligence Engineer to join their team. As a key member of the GREF IDX team, you will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions.

Key Responsibilities

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

Requirements

  1. Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field.
  2. 6+ years of experience as a Business Intelligence Engineer or similar senior-level role.
  3. Demonstrated expertise in designing and implementing complex BI architectures and data models.
  4. Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake).
  5. Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages.
  6. Excellent problem-solving, critical thinking, and analytical skills.
  7. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
  8. Experience collaborating with cross-functional teams to deliver successful BI initiatives.

Preferred Qualifications

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


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