Business Intelligence Engineer

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 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 modelling, 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.

Here are some other qualities we are looking for :

Be great fun to work with. At Amazon, we have a credo of Work hard. Have fun. Make history . In this role, you will love what you do, and instinctively know how to make work fun.

You will be dynamic and creative, and willing to take on any challenge and make a big impact.

• Display flexibility to manage shifting priorities and influence in the face of ambiguity. You will help create critical business process for a rapidly evolving organization
• Enjoy developing solutions for technical talent to achieve great things. You will have a passion for enabling cloud computing experts through your data products for a diverse and challenging set of customers.
• Have a strong understanding of solutions innovation. The ideal candidate will have past experience working with technical teams or similar role to support the operations of the business.

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 modelling ,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

About the team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work / Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

About Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

GSO2024

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
30+ days ago