Sr. Business Intel Engineer, NA Sales & Marketing

Bellevue, Washington, USA

Amazon.com

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The Amazon Cross Devices Marketing team is seeking an experienced Sr. Business Intel Engineer with broad technical skills to develop in-depth business understanding, perform deep-dives, develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

Key job responsibilities
This role will be responsible for providing regular analysis and insight to marketing channel and Devices product line leaders. This role will be expected to proactively identify trends and facilitate analysis to identify issues and that impact Devices and Amazon wide traffic. The ideal candidate will have an extensive background in running SQL queries, performing deep-dives and generating actionable insights.

This is critical role for the organization and requires an individual with effective communication skills, business acumen, and the ability to work across various functional teams and internal partner teams. We are looking for individuals who are self-starters comfortable with ambiguity, demonstrate strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment.


About the team
Amazon Devices—the team behind the best-selling Amazon Echo, Kindle E-Reader, Fire Tablet, Fire TV, and Ring, Blink, and eero Home Security product lines. As part of the cross-devices marketing group, we operate in one of the most diverse businesses at Amazon, empowered to explore new ideas, channels, and tools, setting the stage for how we’ll do business tomorrow.

Basic Qualifications


- Bachelor's degree
- 5+ years experience writing SQL queries and creating business intelligence reports
- Proven expertise in Tableau and Power BI
- Experience designing self-service reporting solutions and automating data processes
- Track record of developing and monitoring KPIs to drive business decisions
- Strong analytical skills with ability to translate data into actionable insights
- Demonstrated organizational and prioritization abilities
- Excellent communication skills for presenting to senior leadership
- Ability to navigate ambiguity in a fast-paced environment

Preferred Qualifications

- Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Fluency in a modeling language such as Python or R
- Strong background in statistics methodology, applications to business problems, and/or big data

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.

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Tags: Big Data Business Intelligence Economics Engineering Finance KPIs Mathematics Power BI Python R Security SQL Statistics Tableau

Perks/benefits: Equity / stock options

Region: North America
Country: United States

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