What are the responsibilities and job description for the Business Intelligence Engineer, Search Marketing position at Amazon?
DESCRIPTION
Are you passionate about transforming data into actionable insights that drive multi-billion-dollar search advertising strategies? Do you thrive on building scalable analytics solutions that optimize how Amazon surfaces products across Google, Bing, Pinterest, and emerging search engines? The Search Advertising team is looking for a Senior Business Intelligence Engineer who will play a central role in shaping Amazon’s SEO, experimentation, and measurement strategies. This is a critical role within the Search Marketing organization, responsible for enabling next-generation insights that fuel Amazon’s discoverability on external platforms. As a BIE, you will partner with science, product, and engineering teams to architect and scale data pipelines and dashboards supporting organic search and paid media initiatives. Your work will directly power executive business reviews (MBRs/WBRs), off-Amazon SEO experiments, and the unified reporting of creative, video, and retail media content.
Over the next few years, you will support advanced experimentation and measurement systems, including incrementality testing, A/B frameworks, and media mix modeling. You will build and maintain high-scale datasets that quantify the impact of content-driven SEO and paid search innovations, while working closely with scientists to evolve first-party measurement solutions in response to privacy-driven signal loss. If you are a data-savvy builder with deep SQL expertise, an eye for metrics that matter, and a desire to shape the future of SEO and search advertising innovation, we invite you to apply and make an impact at global scale.
Key job responsibilities
- Design and implement scalable ETL pipelines to support SEO performance tracking and experimentation analysis
- Build dashboards and reporting tools that support executive reviews, including WBRs, MBRs, and program health reviews
- Partner with science and product teams to operationalize measurement models for ad effectiveness, attribution, and long-term impact
- Own the analytics behind critical initiatives such as video SEO, cold-start search performance, and content discoverability
- Collaborate with external advertising teams to integrate multi-source data into unified insights
- Automate data quality monitoring and create mechanisms to ensure reporting reliability and trust
- Translate business questions into technical requirements and deliver insightful narratives to drive decision-making
A day in the life
As a Sr. BIE on the Search Marketing tech team, you’ll drive insights that shape how Amazon surfaces content across Google, Bing, and other external search engines. Your day spans deep-dives into SEO experiment results, collaborating with scientists to validate impact models, and building scalable pipelines that power executive reporting like WBRs and MBRs. You’ll work closely with PMs, engineers, and marketers to define metrics for initiatives like video SEO, cold-start discoverability, and creative performance. By translating complex data into actionable insights, you enable leadership to make informed decisions on organic and paid search strategy. This is a high-impact role with strong cross-functional visibility, ideal for someone who thrives in ambiguous spaces, communicates clearly, and enjoys building data-driven products that improve customer discovery and long-term business growth.
About the team
Join a team that sits at the intersection of data, innovation, and large-scale customer impact. The SEO, Measurement & Reporting team is shaping the future of how Amazon drives discoverability through search engines like Google, Bing, and Pinterest. We work on high-impact, multi-million-dollar initiatives that directly influence Amazon’s external marketing strategy and advertising efficiency. Here, you’ll collaborate with top-tier engineers, scientists, and business leaders to build data-driven systems that power experimentation, unlock new SEO formats like video, and enable smarter, privacy-resilient measurement. You’ll have the opportunity to work with advanced ML and LLM models to redefine how we quantify ad effectiveness, optimize content visibility, and improve the customer journey from off-Amazon search to conversion. If you're excited by the challenge of turning complex data into meaningful action and want to be part of a team that sets the direction for Amazon’s search marketing evolution, we’d love to have you onboard.
BASIC QUALIFICATIONS
- 5 years of experience in business intelligence, data analytics, or a related quantitative field
- Experience with at least one scripting language (e.g., Python) for data analysis and automation
- Proven ability to build metrics, KPIs, and dashboards to support data-driven decision-making at scale
- Experience in data modeling, ETL development, and maintaining scalable data pipelines
- Proficient in data visualization tools such as Tableau, QuickSight, or similar platforms
- Strong analytical and problem-solving skills with high attention to detail
- Experience working cross-functionally with technical and non-technical stakeholders to define requirements and deliver insights
- Solid understanding of experimental design, statistical analysis, and A/B testing frameworks
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
PREFERRED QUALIFICATIONS
- Background in digital marketing, SEO, advertising analytics, or performance measurement
- Experience with AWS data technologies, including Redshift, S3, and Athena
- Strong understanding of A/B testing design, causal inference, and econometric modeling concepts
- Experience managing complex analytics projects and presenting insights to senior leadership
- Familiarity with information retrieval, machine learning, data mining, and applied data science
- Proven track record of building automated, scalable analytical and reporting solutions
- Ability to independently lead initiatives, operate in ambiguity, and influence cross-functional decision-making
- Strong business acumen with the ability to connect data insights to strategic outcomes
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.
Salary : $117,300 - $202,800
