Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (cloud computing). With AWS you can requisition compute power, storage, and many other services gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with millions of customers in over 190 countries. Many of these customers seek help fr... more details
DESCRIPTION
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (cloud computing). With AWS you can requisition compute power, storage, and many other services gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with millions of customers in over 190 countries. Many of these customers seek help from AWS Professional Services in their journey to a cloud-based IT operating model.
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 GNDs fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization. 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. You will work with demand planning, finance, networking, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives.
Some travel expected.
Key job responsibilities - 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 tool. - 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.
About the team The Intel & Reporting (I&R) team within the Global Network Deployment (GND) org is responsible for the creation and communication of operational and financial metrics to drive efficiencies within the different GND verticals. This is achieved by identifying areas of opportunity, performing deep dive analysis, and providing our customers with tools, dashboards, and reports that influence business direction.
We are open to hiring candidates to work out of one of the following locations:
Herndon, VA, USA
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
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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