Business Intelligence Engineer, Amazon Advertising, Ads Finance

Amazon; New York (NY); On-site; USD 91,000 - 158,000; Full time

Benefits offered by this job

Health insurance

RSUs

Job summary

Amazon Advertising, Ads Finance is seeking a Business Intelligence Engineer to power strategic decision-making through data storytelling and analytics. You will partner with Product Managers, Finance, and Engineers to build scalable BI solutions and measurable metrics across initiatives.

The role focuses on developing pipelines, dashboards, and visualizations, driving insights, and enabling data-driven decisions that shape product and business growth.

Qualifications

• 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with analytics tools (Excel, Tableau, PowerBI, MicroStrategy) and statistical methods.
• Experience with scripting language (Python, Java, or R).
• Bachelor's degree in a related field.

Responsibilities

• Collaborate with PMs, Finance, Engineers, and Data Engineers to develop BI/analytics solutions.
• Build and analyze key metrics to uncover trends and root causes; conduct ad-hoc investigations.
• Own design, development, and maintenance of data pipelines, reports, dashboards and visualizations.
• Work with teams to measure performance of AI projects enhancing customer experience.
• Migrate dashboards to new tools and train users on updated visualization platforms.

Skills

Data analysis

Data visualization

Analytics tools

Scripting

Bachelor's degree

Education

Bachelor's degree

Tools

Tableau

Quicksight

Excel

PowerBI

MicroStrategy

Job description

Business Intelligence Engineer, Amazon Advertising, Ads Finance

Job ID: 10547097 | Amazon.com Services LLC

Unlock the Power of Data to Transform Advertising Insights

We're seeking a brilliant Business Intelligence Engineer to be the analytical powerhouse behind Amazon Advertising's strategic decision-making. In this pivotal role, you'll transform complex data into compelling stories that drive product innovation and business growth.

Key job responsibilities

• Work closely with the Product Managers, Finance, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions and surface new opportunities for improvements.
• Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.
• Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
• Work with Product Managers, Data Engineers, scientists to develop a mechanism to measure the performance of a new and complex projects that seeks to create a unified and cohesive generative AI solution to enhance customer experience.
• Collaborate with other stakeholders to optimize and adopt applications within the AWS ecosystem.
• In this role, the BIE will be responsible for migrating dashboards to new visualization tools, conducting thorough testing, deploying the new tools, and training users on the updated visualization platform.

A day in the life

Your day will be a dynamic blend of data exploration and strategic storytelling. You'll dive deep into massive datasets, uncovering hidden patterns and translating intricate business challenges into clear, actionable insights. From designing sophisticated data pipelines to creating compelling visualizations, you'll be the bridge between raw data and strategic decision-making.

About the team

Our Advertising Finance team is a collaborative powerhouse of innovators. We work closely with product managers, engineers, and leadership to shape the future of digital advertising. Our mission is to generate insights that not only measure performance but fundamentally transform how we understand and optimize advertising ecosystems.

Basic Qualifications

• 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Bachelor's degree

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 90,500.00 - 158,400.00 USD annually