Job summary

Amazon Ads is seeking a Senior Business Intelligence Engineer to join our team in London. Join our team of data experts to help us unlock business insights and a better customer experience for Amazon DSP users.

Amazon Ads helps brands create experiences that delight customers and deliver meaningful results. With 300+ million worldwide active customer accounts, and first-party insights based on shopping, streaming and browsing signals, brands can craft relevant campaigns that enhance customer experiences. Our solutions on Amazon.com, services like Twitch, IMDb T V, Alexa, Amazon Music, and partnerships with third-party publishers and exchanges make Amazon Ads the ultimate amplifier for brands to reach the right audiences in the right places, both on and off Amazon.

We are hiring a Senior Business Intelligence Engineer to help us accelerate our efforts in delighting our advertising customers, by building new business intelligence solutions as an end-to-end owner. If you are passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth, we’d like to hear from you!


The primary focus of this role will be to design, develop, and manage analytical tools and reporting for the Amazon DSP Services team within Amazon Ads. The Amazon DSP Services team supports customers using Amazon DSP, which is a demand-side platform that allows brands to programmatically buy ads to reach new and existing audiences on and off Amazon. Our vision is to provide the gold standard of customer service and programmatic expertise for our customers. The team is constantly looking for new ways to improve the customer experience, whether by improving campaign performance, optimizing team utilization, delivering training and certifications, etc. We require data analysis and insights to drive business decisions around our services and programs. Your main customers would be Amazon DSP Services leadership, managers, Program Managers, and partner teams (e.g. Sales, Product.)

Day in the Life

• Join our biweekly sprint meeting in the office or remotely—your choice
• Review incoming requests for a new dashboard related to campaign performance and provide prioritization and ETA
• Meet with leadership and program managers to understand data needs for an upcoming strategic initiatives
• Present a new metric in a weekly business review, fielding questions about the underlying data and calculations
• Send a launch announcement about a new version of a tool you developed to help the team understand customer health, highlighting new features and bug fixes
• Spend some quality, uninterrupted time building a new dataset using SQL, which will unlock insights on advertiser retention
• Brainstorm with the team on the right method to generate a new metric requested by senior leadership

To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, always applying analytical rigor to solve business problems. You should have strong business and communication skills and be able to work closely with Amazon Ads stakeholders to define key business questions and build data sets and models that answer them. Our Business Intelligence teams are expected to have a detailed understanding of our business and never lose sight of the broader problems that we are trying to solve. In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed.

You are comfortable with ambiguity and moving fast, helping the business make quick decisions, as well as diving deep and conducting research to find the best available data and insights. You are passionate about data visualization, knowing which formats work best to communicate with stakeholders.

The primary responsibilities of this role include:

• Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
• Use analytical and statistical rigor to solve complex problems and drive business decisions
• Write SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, DBs), and learn and understand a broad range of Amazon’s data resources, to know how, when, and which to use and which not to use
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

About Us

• Here at Amazon Ads, we embrace our differences. We are committed to furthering our culture of inclusion. We have 13 employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
• Our team puts a high value on work-life balance. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
• Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
• Amazon is an equal opportunity employer.

• MBA or Master’s degree in computer science, engineering, statistics, mathematics or related field
• Expert in writing and tuning SQL scripts
• Experience with at least one scripting language (e.g. Python, Java, C++)
• Experience working in very large data warehouse environments
• Experience conducting large scale data analysis to support business decision making
• Experience with AWS Glue or ETL
• 
  Strong active listener with solid written and verbal communication skills

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.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.