Business Intelligence Engineer, AWS Field Exp - BPO - BPX

Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world including the fastest-growing startups, largest enterprises, and leading government agencies to power their infrastructure.

Business Product & Operations (BPO) is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales, Marketing, and Global Services Operations teams within AWS.

We are looking for a hands-on Business Intelligence Engineer with experience developing and delivering analytics portfolio as we build the next iteration of our system.

As a Business Intelligence Engineer within the AWS Sales, Marketing, and Global Services (SMGS), you will play a critical role in driving data-driven decision-making and enabling strategic insights across the organization.

You will design, develop, and maintain robust business intelligence solutions, leveraging AWS technologies and best practices to empower data-driven decision-making processes.

A successful candidate will have a deep knowledge of business intelligence solutions and possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams.

They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space.

Key job responsibilities

• Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
• Identify opportunities and key criteria to drive analytical reporting and business strategy
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Use data modeling, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
• Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership
• Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
• Simplify and automate reporting, audits, and other data-driven activities
• Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights
• Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
• Learn new technology and techniques to meaningfully support product and process innovation

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.

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

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