AmazonBusiness Intelligence Engineer, Advertising Finance
Amazon is hiring a Business Intelligence Engineer, Advertising Finance in Seattle, United States. It pays $110k-$185k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, ETL and business intelligence among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
Business Intelligence Engineer for Amazon Advertising Finance building scalable data solutions and metrics infrastructure.
This role will be the key contributor on the Advertising Publisher Monetization Finance team, supporting publishers such as Amazon.com, Prime Video, Alexa, Twitch, Fire TV, Audio, Live Sports, PubTech, Amazon Business, and Books Ads. The person will own the Amazon Business Ads landscape initially and evolve into supporting all Stores and Verticals publishers. The person will build out the business insights, analysis practices, and data infrastructure for APM stakeholders, gaining visibility across Ads, Retail, and Finance organizations. The team generates insights to guide product and partner strategy and provides direct business strategy support to senior leaders. We are motivated to improve the overall experience for both our advertisers and shoppers through Ads.
As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to further improve our ability to deliver value to Amazon's customers.
This role requires an individual with excellent business acumen, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity, complex datasets, and challenging business problems. The person will demonstrate strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.
Key job responsibilities
Key job responsibilities
Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies
Simplify and re-invent current data solutions to support the business scope expansion
Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making
Translate business problems into data questions, find solutions to solve those questions with resourcefulness
Present analytical findings and recommendations to business leadership
Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc.
Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
This role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to use emerging technologies such as machine learning to build models and tools used by management for strategic decision making.
About the team
The APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.
Basic qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of SQL and data warehousing concepts
Preferred qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the 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 - 109,500.00 - 185,000.00 USD annually
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
How we rate this
Business Intelligence Engineer, Advertising Finance at Amazon rates 0 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 engineering was part of your work. What did you do?
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Engineering, Financial Analysis, Analytics, and SQL. 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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