The Analytics Team supporting the Global AdTech Organization (GAO) 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 endtoend 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. GAO 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 userfriendly selfservice 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 selfservice managed service and programmatic ad buying these solutions help businesses build brand awareness increase product sales and more. Within Amazon Advertising the Global AdTech Organization focuses on developing strategic partnerships across advertising agencies and direct clients.
Bachelors 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 customerfacing 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 nontechnical business owners
Experience working in large data warehouse environments
Experience with writing technical documentation
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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for more information. If the country/region youre applying in isnt 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 $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.