Business Intelligence Engineer, Advertising Services Finance Analytics

About the role

Amazon Advertising is the earth’s most customer-centric advertising program, dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. As a Business Intelligence Engineer, you will work in a fast-paced, data-driven environment, focusing on improving corporate reporting frameworks and data visualization. You will analyze performance data, solve real-world problems, and build metrics to enhance decision-making. This role offers full ownership of projects and the opportunity to build strong leadership skills within Amazon Advertising.

Responsibilities

• Day-to-day operations reporting.
• Collaborate with teams across Amazon to improve data quality within their respective products and platforms.
• Identify root causes of data issues and develop solutions.
• Work with software developers and data engineers to enhance data quality on state-of-the-art platforms.
• Report results in a manner that is both statistically rigorous and compellingly relevant.
• Model data and metadata to support ad-hoc and pre-built reporting.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Drive operational excellence for data ingestion, transformation, and publication to ensure confidence in the systems built.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Triage many possible courses of action in a high-ambiguity environment, using both quantitative analysis and business judgment.

Requirements

• 3+ years of experience analyzing and interpreting data with tools such as Redshift, Oracle, or NoSQL.
• 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.
• Proficiency in SQL for data extraction and scripting experience (Python) for data processing.
• Bachelor's degree in Business Intelligence, finance, engineering, statistics, computer science, mathematics, or an equivalent quantitative field.

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.

Pay

Base salary range: $109,500 - $185,000 USD annually.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and mental health support.
• Medical advice line and flexible spending accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Learn more about our benefits.