Sr Business Intelligence Engineer, AWS Kumo Analytics

$117,300 - $202,800/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

This role involves driving critical thinking and insights into complex, unstructured problems while collaborating with organizational leaders to implement these insights. It is a hands-on position within a small team, allowing for ownership of customer and business challenges from ideation to implementation. The mission is to enhance the customer journey for AWS clients through automation and self-service analytics, utilizing various analytics tools to generate impactful business insights.

Responsibilities

• Develop, launch, and scale self-service analytics and insights offerings.
• Collaborate with stakeholders to address customer and business problems.
• Utilize analytics tools to generate insights for product and customer experience improvements.

Requirements

• 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science, or a related field.
• Expert-level SQL proficiency.
• Experience with data modeling, ETL, data warehousing, and data lakes.
• Strong experience with engineering and operations best practices, including version control and data quality/testing.
• Proficiency in one or more general-purpose programming languages (e.g., Python, Java, Scala).
• Knowledge of AWS products such as Redshift and Quicksight.
• Excellent verbal and written communication skills, with the ability to summarize key findings and communicate effectively with both business and technical teams.

Nice-to-haves

• Experience working directly with business stakeholders to translate data into business needs.
• Experience managing, analyzing, and communicating results to senior leadership.

Benefits

• Comprehensive medical, financial, and other benefits.
• Equity and sign-on payments may be included in the total compensation package.