Job Information
Amazon Business Intelligence Engineer, Sales Incentive Compensation in Seattle, Washington
Description
We are looking for a highly analytical Business Intelligence Engineer to join Amazon Advertising Sales Incentives Compensation team.
Sales Incentives Compensation at Amazon Advertising is a critical driver of the sales employee experience and creates earning opportunity as a pay for performance program. All aspects related to sales incentives are managed centrally, including Incentive Design, Quota Governance, and Incentive Payout Operations. We listen to sales employees and engage deeply across Sales, Finance, and HR leadership to shape the program. Sales employee attraction, motivation, and retention are balanced with achievement of revenue and growth goals for Amazon Advertising.
The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, insight into incentive sales compensation best practices and the ability to quickly learn, adapt and work with a variety of technologies.
Key job responsibilities
Collaboration and partnership with Sales Enablement, Compensation Design, Finance, and Sales Operations to deliver best in class sales performance reporting
Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders
Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines
Supporting the Ads Sales organization with various ad-hoc reporting, analyses, and data processing needs
Implement/deploy data visualizations (ie Quicksight dashboards)
Communicate clearly to stakeholders on reporting requirements and status, and work with business stakeholders to understand its value
Key job responsibilities
The role of a Business Intelligence Engineer (BIE) I involves handling reporting requirements. BIE I also works on setting up data pipelines and Redshift cluster maintenance.
Apply domain/process expertise in working with ETL, and Quicksight Dashboards.
Translate basic business problem statements into analysis requirements, work with the clients to define the best output, influence them and write queries to get the output.
Implement/deploy data visualization or communication like quicksight dashboards, communicate clearly to stakeholders on project requirements and status, communicate analysis, generate periodic reports and work with business stakeholders to understand its value.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
Experience with scripting language (e.g., Python, Java, or R)
Bachelor's degree, or Advanced technical degree
Preferred Qualifications
- Knowledge of data modeling and data pipeline design
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65,800/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.