Sr. Business Intelligence Engineer, Amazon DSP

- 5+ years of SQL experience
- 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 working in ad tech
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.
Amazon Ads operates at the intersection of e-Commerce and Advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Amazon DSP is Amazon’s programmatic advertising product for campaigns spanning Video, Audio and Display across Amazon properties (e.g., Amazon.com, Freevee, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party websites and apps. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in working to build a unique, world-class advertising offering with a relentless focus on the customer, you’ve come to the right place.

A successful candidate will have a passion for data and analytics, knows and loves working with BI tools, is comfortable accessing and working with big data from multiple sources, and can partner with internal stakeholders to help drive the business. They will have a deep knowledge of business intelligence solutions, possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate.

Key job responsibilities
- Partner with Product teams to understand the business requirements and implement solutions to support product plans.
- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.
- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.
- Develop and support the analytical technologies that give stakeholders timely, flexible, and structured access to their data.
- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.
- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.
- Conduct ad hoc data analysis and data quality investigations.