Job ID: 2741727 | Amazon Web Services, Inc.
Are you passionate about working with data, driven to dive deep, and eager to make broad business impact? Do you thrive in a fast-paced, sometimes ambiguous environment and enjoy transforming data into actionable recommendations? Are you obsessed about customers and data, and are you looking for an opportunity to combine the two? Here’s your opportunity! To meet the growing demand for Amazon Web Services, the Americas Solution Architects (SA) & Customer Solutions Managers (CSM) organization has grown significantly in recent years. We are now building our Strategy and Insights team to help us operate at scale. This team is responsible for gathering, analyzing, and delivering insights from data and building tools that will help our SAs and CSMs serve our customers better.
We are seeking a professional who can operate with a startup mentality while partnering with managers and business leaders to deliver sound, data-backed recommendations and insights, identify areas of improvement and suggest and implement solutions.
The ideal candidate will be highly analytical, excited about data mining and generate insights that will influence the direction of the Americas technical organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance, and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.
Key job responsibilities
- Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs.
- Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, QuickSight and Tableau skillsets.
- Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it.
- Use data mining, data modeling, data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
- Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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.
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