Sr. Business Intelligence Engineer, APM Product Finance
Apply NowCompany: Amazon
Location: New York, NY 10025
Description:
Amazon Advertising is looking for a motivated Sr. Business Intelligence Engineer with strong technological, analytical, and business intelligence skill sets and experience to join the Advertising Product Finance team supporting the Video, Audio and Devices advertising businesses.
As a Sr. BIE on this team, you will be responsible for building and owning the delivery of an analytical roadmap for APM Finance publishers you support. You will generate insights that directly drive business growth and influence product enhancements. You will get to work with datasets in largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence finance and product leadership. You will work closely with Finance, business leaders, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. As you build your service's analytical capabilities, you will be redefining best practices to improve scalability and automation.
Key job responsibilities
- Develop a deep understanding of the business drivers and data landscape for Ads
- Deliver in-depth data-driven analysis papers with actionable insights to finance and business leaders.
- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.
- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.
- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.
- Mentor junior members to help establish new analytical standards and best practices for the team.
A day in the life
You will develop and implement advanced models and tools, perform statistical analysis, and evaluate large datasets to create customized models and dashboards. Furthermore, you will play a crucial role in designing a reliable and scalable infrastructure for ongoing reporting and analytics. Your responsibilities will also include structuring complex problems, designing analytics solutions across multiple disciplines, and providing actionable recommendations that inform strategic planning, product strategy and launches, engineering improvements, marketing campaign optimization, customer service trends, and competitive research.
About the team
The APM advertising product finance team directly supports Amazon Device, Audio, and Video advertising demand-side platform (DSP) product teams. We also act as internal partners to support and drive our ad sales and supply teams. 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
- 10+ years of professional or military experience
- 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 with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
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.
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.
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.
As a Sr. BIE on this team, you will be responsible for building and owning the delivery of an analytical roadmap for APM Finance publishers you support. You will generate insights that directly drive business growth and influence product enhancements. You will get to work with datasets in largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence finance and product leadership. You will work closely with Finance, business leaders, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. As you build your service's analytical capabilities, you will be redefining best practices to improve scalability and automation.
Key job responsibilities
- Develop a deep understanding of the business drivers and data landscape for Ads
- Deliver in-depth data-driven analysis papers with actionable insights to finance and business leaders.
- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.
- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.
- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.
- Mentor junior members to help establish new analytical standards and best practices for the team.
A day in the life
You will develop and implement advanced models and tools, perform statistical analysis, and evaluate large datasets to create customized models and dashboards. Furthermore, you will play a crucial role in designing a reliable and scalable infrastructure for ongoing reporting and analytics. Your responsibilities will also include structuring complex problems, designing analytics solutions across multiple disciplines, and providing actionable recommendations that inform strategic planning, product strategy and launches, engineering improvements, marketing campaign optimization, customer service trends, and competitive research.
About the team
The APM advertising product finance team directly supports Amazon Device, Audio, and Video advertising demand-side platform (DSP) product teams. We also act as internal partners to support and drive our ad sales and supply teams. 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
- 10+ years of professional or military experience
- 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 with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
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.
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.
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.