Business Intelligence Engineer, Amazon

• 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

Desirable

• 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
• 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