Sr. Business Intelligence Engineer, Advertising Support and Operations

Amazon

New York (NY)

On-site

USD 143,000 - 194,000

Full time

12 hours ago
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Job summary

Amazon Advertising is seeking a Sr. Business Intelligence Engineer to join the Self-Service Support team in New York. You will design backend datasets, build dashboards, and run ML analyses to influence targeting strategies and product KPIs.

Collaborate with product managers and engineers to scale reporting and automation for broad stakeholder use. The ideal candidate has extensive SQL experience, proficiency with AWS technologies, and a strong foundation in statistics and data mining.

Qualifications

  • 10+ years of professional or military experience.
  • 5+ years of SQL experience.
  • 1+ years of SQL, ETL or Oracle experience.
  • 1+ years of processing large, multi-TB datasets from multiple sources experience.
  • 1+ years of performing statistical analysis experience.
  • 1+ years of developing automated reporting experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
  • Experience programming to extract, transform and clean large (multi-TB) data sets.
  • Experience with AWS technologies.
  • Experience with 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

Responsibilities

  • Design and build backend datasets from various data sources.
  • Collaborate with Product Managers to create innovative KPIs to assess our business.
  • Own the creation and production of reports and dashboards on current performance trends.
  • Identify requirements and coordinate with engineering and business leads on implementation.
  • Pull and synthesize data and conduct business analyses that drive strategic decisions or process improvements, including measurement of A/B tests.
  • Identify and drive improvements in reporting automation and metrics.
  • Build solutions to have maximum scale and self-service ability by stakeholders.
  • Run ML-based analysis to inform targeting strategies.

Skills

SQL
ETL
Python
Machine Learning
Statistical Analysis
Data Analysis
Data Visualization
Big Data
A/B Testing

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field

Tools

AWS Technologies
Oracle
ETL Tools

Job description

Sr. Business Intelligence Engineer, Advertising Support and Operations

Job ID: 10512662 | Amazon Advertising LLC

Amazon Advertising is looking for a curious and resourceful Sr. Business Intelligence Engineer (BIE) to join the Self-Service Support team. Our team ensures that advertisers using our applications can answer their own questions or solve their own problems whenever possible through Help content, and have an easy path to contact Amazon when it’s not possible. The BIE will build critical backend datasets and related business reporting to measure opportunities and performance of our support products. They will also use ML analysis to inform our in-application Help targeting strategy.

Key job responsibilities
  • Design and build backend datasets from various data sources.
  • Collaborate with Product Managers to create innovative KPIs to assess our business.
  • Own the creation and production of reports and dashboards on current performance trends.
  • Identify requirements and coordinate with engineering and business leads on implementation.
  • Pull and synthesize data and conduct business analyses that drive strategic decisions or process improvements, including measurement of A/B tests.
  • Identify and drive improvements in reporting automation and metrics.
  • Build solutions to have maximum scale and self-service ability by stakeholders.
  • Run ML-based analysis to inform targeting strategies.
Basic Qualifications
  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • 1+ years of SQL, ETL or Oracle experience
  • 1+ years of processing large, multi-dimensional datasets from multiple sources experience
  • 1+ years of performing statistical analysis experience
  • 1+ years of developing automated reporting experience
  • 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
  • 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
  • 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
Preferred Qualifications
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Preferred Qualifications
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 143,400.00 - 194,000.00 USD annually

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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