Location: New York,NY, USA
Description
The Analytics Team supporting the Ad Tech Sales and Services organization seeks a Senior Business Intelligence Engineer to join our team in New York City. This role will focus on the design, development, and management of analytical tools and reporting as an end-to-end owner. These solutions will help accelerate our efforts to optimize the efficiency and effectiveness of our partner teams who service our advertising customers. We produce analyses and reporting to surface opportunities to engage with customers, track those engagements, measure the impact, and share actionable insights with senior leaders to inform business decisions and programs. AdTech Services leadership, regional and country managers, Program Managers, and partner teams, such as Finance and Product, will serve as your main customers.
Key job responsibilities
The right person for this role is a global operator, strategist, and leader. You have the ability to adapt to the changing needs of a rapidly growing organization and find direction in ambiguity. You will collaborate with a highly technical team of business intelligence and data engineers to deliver solutions to stakeholders across the globe. You will innovate on direction received from stakeholders but also proactively explore and present opportunities for data to shape the strategic direction of the organization via both ad hoc analysis and scalable dashboarding. You have broad skills in database design, comfort in dealing with large and complex data sets, and have experience building scalable, automated, user-friendly, self-service dashboards using visualization tools. You have strong communication and stakeholder management skills enabling you to collaborate directly with internal customers to address key business questions. You partner with other engineers and program managers to build data models that answer those questions. You will serve as a thought leader to help guide programs to follow analytical best practices. You will freely question stakeholder requests to better explore the value you intend to deliver and suggest to pivot where you see fit. Our Business Intelligence team must have a detailed understanding of our business and never lose sight of the broader problems that we strive to solve. You will apply your experience within and knowledge of the AdTech industry, in particular, working with sales and services teams, to deliver effective and efficient solutions to business needs.
About the team
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including sponsored, display, video, and custom ads - leverage Amazons innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. Within Amazon Advertising, the Ad Tech Sales and Services team focuses on developing strategic partnerships across advertising agencies and direct clients.
Basic Qualifications
- Bachelor's degree in mathematics, statistic, engineering or related quantitative discipline, or equivalent experience
- 10+ years of professional experience in an analytical function (business intelligence, analytics, data science, etc.)
- 4+ years of experience conducting business analyses and presenting insights/opportunities to upper management to inform key business decisions of senior leaders
- Advanced SQL Proficiency
- Advanced experience in automated reporting using data visualization software: Tableau, Power BI, QuickSight, BusinessObjects, QlikView, MicroStrategy, Looker, etc.
- Experience with Agile methodologies and project management systems such as JIRA, Asana, etc.
- Experience in AdTech or a demonstrated knowledge of programmatic advertising and the digital advertising ecosystem
- Experience supporting customer-facing organizations such as sales, account management, technical services, etc.
- Highly Proficient oral and written communication skills with ability to establish credibility and trust with technical and non-technical business owners
- Experience working in large data warehouse environments
- Experience with writing technical documentation
Preferred Qualifications
- MBA or Masters degree in computer science, engineering, statistics, mathematics or related field
- Experience with at least one scripting language (Python, Java, C++, etc.)
- Experience with Redshift, AWS Glue, or other ETL tools
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
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 This position will remain posted until filled. Applicants should apply via our internal or external career site.