Business Intelligence Engineer, SPDE Analytics

$89,600 - $185,000/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

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

About the position

The Business Intelligence Engineer (BIE) role at Amazon involves developing and implementing measurement mechanisms, data frameworks, and interactive dashboards to facilitate data-driven decision-making. The BIE will support the Contact Elimination program, measuring initiatives and reporting on their effectiveness while collaborating with various stakeholders to provide self-service analytics and reporting capabilities.

Responsibilities

• Measure initiatives for contact elimination through A/B testing or non-causal analysis methods.
• Utilize advanced SQL skills for business decision-support analysis.
• Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
• Conduct driver analysis and develop time series models to forecast trends in metrics.
• Collaborate with data engineers and the Science team to ensure alignment between data sets and the underlying data infrastructure.
• Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
• Continuously monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
• Identify, develop, manage, and execute analyses to uncover opportunities, providing written recommendations.
• Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively.
• Become an expert in your field to promote work-life balance and exemplify operational excellence.

Requirements

• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with Experimentation and Non Experimental Causal attribution models.
• 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.

Nice-to-haves

• 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.

Benefits

• Medical, financial, and other benefits
• Equity and sign-on payments as part of total compensation package