Business Intelligence Engineer
Seattle , WA
|Onsite
|Contract
Seattle, WA
|Onsite
|Contract
Job ID 73381|Posted Feb 10, 2026
JOB DESCRIPTION
Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made Earth's most customer-centric company. This would not be possible without the tools and expertise we use to understand customer behavior. The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy.
At client , understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer with client, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.
If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.
Key Responsibilities:
We are seeking a talented Business Intelligence Engineer to support next-generation product development for Prime Video partners. In this role, you will analyze large datasets within mplex data lake and warehouse environments to directly answer partners questions and deliver insights that enable partners to make informed content marketing and merchandising decisions. You will also drive data-informed decision-making by establishing business metrics, owning self-service reporting solutions, and measuring product and feature performance, exploring the integration and adoption of GenAI services into our deliverables, aiming to provide AI-enhanced solutions for next-generation experiences for our stakeholders.
Working closely with Product Managers, Technical Program Managers, Software Development Engineers, business teams, and senior management, you will conduct analytics and deliver scalable solutions to guide product development.
The ideal candidate demonstrates strong business acumen and excellent communication skills, lead projects end to end. Your work will have a direct impact on partners and day-to-day decision-making in Prime Video, helping to drive product development and business growth through data-driven insights.
Job Qualifications:
- 3-6 years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $31 - $63 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
At client , understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer with client, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.
If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.
Key Responsibilities:
We are seeking a talented Business Intelligence Engineer to support next-generation product development for Prime Video partners. In this role, you will analyze large datasets within mplex data lake and warehouse environments to directly answer partners questions and deliver insights that enable partners to make informed content marketing and merchandising decisions. You will also drive data-informed decision-making by establishing business metrics, owning self-service reporting solutions, and measuring product and feature performance, exploring the integration and adoption of GenAI services into our deliverables, aiming to provide AI-enhanced solutions for next-generation experiences for our stakeholders.
Working closely with Product Managers, Technical Program Managers, Software Development Engineers, business teams, and senior management, you will conduct analytics and deliver scalable solutions to guide product development.
The ideal candidate demonstrates strong business acumen and excellent communication skills, lead projects end to end. Your work will have a direct impact on partners and day-to-day decision-making in Prime Video, helping to drive product development and business growth through data-driven insights.
Job Qualifications:
- 3-6 years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $31 - $63 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer.
We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.
In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact us.
All applicants applying must be legally authorized to work in the country of employment.
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