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AbeBooks

Business Intelligence Engineer, AWS Marketplace

Location
Vancouver, BC
Details
Full Time
2 days ago
AWS Marketplace is looking for an experienced Business Intelligence Engineer to partner closely with external customers and internal teams to driver data insights and inform the seller-facing reporting roadmap. You will understand customer needs and use data to surface insights into their Marketplace business. You will work directly with Engineering to develop the future reporting and insights features for the AWS Marketplace Management Portal.

AWS MP is a curated digital catalog customers can use to find, buy, deploy, and manage third-party software, data, and services that customers need to build solutions and run their businesses. To learn more about Marketplace, our categories and the services we support, please visit: https://aws.amazon.com/marketplace

Responsibilities:
• Engage with Product and Engineering to drive and implement critical metrics, experiments and analyses.
• Develop custom insights for sellers to help them better understand their AWS Marketplace business performance.
• Build and maintain basic ETL pipelines from a variety of sources
• Recognize and adopt best practices in reporting and analysis

Life/work balance

Our team is focused on balancing life with work, and does this via work autonomy and by prioritizing solutions and processes that enable us to scale faster than the business.

Mentorship and Career Growth

One of the keys to AWS's success is its top-tier product management culture. You will have the opportunity to work with multiple AWS business lines that can help you accelerate your career and bring ideas to market. You will be working closely with key internal stakeholders (e.g. Marketplace Product Management & Engineering, AWS field teams, AWS Services (e.g. S3, EC2), migration teams, services, legal, operations and support).

Inclusive and Diverse Culture
Working with a team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results is exciting. Partnering with others in the organization is key to our long term success and is what helps frame our inclusive culture.

BASIC QUALIFICATIONS

• Proficiency in one or more querying languages (e.g. SQL, HiveQL, SPARQL)
• Scripting proficiency in one or more language (e.g. Python, Scala, Ruby, Java)
• 3+ years in relevant experience as data scientist, data engineer, business intelligence engineer, or equivalent.
• 3+ years of relevant experience using data visualization tools including Tableau or QuickSight
• Ability to work cross-functionally, building and maintaining trust with internal stakeholders.

PREFERRED QUALIFICATIONS

• Master's degree in Math/Statistics/Engineering or other equivalent quantitative discipline.
• Experience with AWS services such as Redshift, Glue, S3, and Spectrum.
• Ability to interact, communicate, present, and influence within multiple levels of the organization
• Written and verbal communication skills
• Customer focus, ownership and curiosity

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Category
Science