AmazonSr. Business Intelligence Engineer, Advertising Support and Operations
Amazon is hiring a Sr. Business Intelligence Engineer, Advertising Support and Operations in New York, United States. It pays $143k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include SQL, AWS and Oracle.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Build backend datasets and use machine learning analysis to inform advertising support targeting strategies and reporting automation.
Key job responsibilities
*Design and build backend datasets from various data sources.
*Collaborate with Product Managers to create innovative KPIs to assess our business.
*Own the creation and production of reports and dashboards on current performance trends.
*Identify requirements and coordinate with engineering and business leads on implementation.
*Pull and synthesize data and conduct business analyses that drive strategic decisions or process improvements, including measurement of A/B tests.
*Identify and drive improvements in reporting automation and metrics.
*Build solutions to have maximum scale and self-service ability by stakeholders.
*Run ML-based analysis to inform targeting strategies.
Basic qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 - 143,400.00 - 194,000.00 USD annually
How we rate this
Sr. Business Intelligence Engineer, Advertising Support and Operations at Amazon rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Analysis, Machine learning, ETL, and Statistical Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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