Business Intelligence Engineer , Intel & Reporting

Business Intelligence Engineer, Intel & Reporting

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

The Global Network Deployment (GND) organization is looking to hire an experienced Business Intelligence Engineer to join our Intel & Reporting team (I&R) to support GND’s fast-growing operations. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboard, planning models, and analysis for the different GND verticals.

Key responsibilities include:

• Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals.
• Interface with business customers, gathering requirements and delivering complete reporting solutions.
• Publish and maintain Tableau dashboards, reports, and executive review documents.
• Identify patterns in data and how they relate to the business outcomes.
• Act as an SME for BI tools by delivering training to team members on the usage of these tools.
• Perform regular system audits to ensure complete and accurate reporting of data/metrics.
• Invent new ways to define and measure program effectiveness and organizational productivity.

Basic Qualifications:

• 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 5+ years of relevant experience in data analysis, data visualization, financial modeling, and/or statistical modeling
• 5+ years of experience in SQL and manipulating large data sets in a database
• 5+ years of advanced proficiency in Excel (including VBA, Pivot Tables, Power Pivots, etc) and data analytics tools such as Quicksight or Tableau
• Bachelor's degree in Business, Finance, Math, Engineering, Computer Science, or related discipline; or 8+ years of relevant industry experience

Preferred Qualifications:

• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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