Business Intelligence Engineer, EMEA Construction Cost Control

Business Intelligence Engineer, EMEA Construction Cost Control

Job ID: 2613965 | Amazon Data Services Ireland Limited

- 3+ years of experience analyzing and interpreting data using tools such as Redshift, Oracle, or NoSQL databases, with a focus on construction cost data.
- Proficiency in data visualization tools such as Tableau, Quicksight, or similar platforms, for communicating construction cost insights effectively.
- Experience in data modeling, warehousing, and building ETL pipelines specific to construction cost management.
- Strong SQL skills for data extraction and manipulation, as well as scripting experience (e.g., Python) for data processing.

DESCRIPTION

Do you want to be an integral part of the world's transition to the cloud? The AWS EMEA Construction Cost Control team is seeking a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team. As a Business Intelligence Engineer within the AWS Data Center Construction team, you will play a crucial role in managing and optimizing the financial aspects of data center construction projects. Leveraging data-driven insights, you will support decision-making processes and strategic planning efforts to ensure cost-effective and efficient project delivery. Your work will directly influence the decisions and strategies of the AWS Infrastructure Services organization and our customers, contributing to the success of data center construction initiatives. Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce. Key job responsibilities
- System Development: Design, develop, and maintain scalable, automated user friendly systems, reports, and dashboards to support the financial needs of data center construction projects.
- Data Analysis and Insights: Apply advanced analytic techniques to extract meaningful insights from large and complex datasets related to construction costs, procurement, and project performance.
- ETL Pipeline Development: Utilize Extract, Transform, Load (ETL) processes to build robust data pipelines supporting automated reporting and analysis of construction cost data.
- Stakeholder Collaboration: Serve as a liaison between business and technical teams, facilitating communication and collaboration to ensure alignment on cost management strategies and objectives.
- Data Visualization: Develop compelling data visualizations to illustrate construction cost trends, patterns, and outliers, enabling stakeholders to make informed decisions.
- Best Practices Adherence: Recognize and adopt best practices in construction cost management, ensuring data integrity, accuracy, and adherence to industry standards and regulations. We are open to hiring candidates to work out of one of the following locations: Dublin, D, IRL | Dublin, IRL | Dublin, LM, IRL

PREFERRED QUALIFICATIONS

- Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift, and their application in managing construction cost data.
- Experience in data mining, ETL processes, and database management in a construction environment with large-scale, complex datasets.
- Proficiency in Statistical Analysis packages such as R, SAS, or Matlab, for advanced analysis of construction cost data. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.