As a Senior Business Intelligence Engineer with ABServ, you will work with our Tech, Product, Finance and Business teams to create automated and scalable analytical tools, provide insights, drive improved decision making, gain input and deliver tools that meet our customer needs. You will empower data driven decision making through implementing principles of data mining, Machine Learning, data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. This includes building the infrastructure for regular reporting on business performance, deep diving financial processes and systems across Consumer, and writing the logic for accuracy metrics and opportunity valuation.
Key job responsibilities

• Collaborate with business and product leaders to solve problems, create operational efficiencies, and deliver against high organizational standards
• Apply analytical techniques to answer high-impact business questions and present insights in a concise, effective manner
• Build and maintain a robust set of operational and business metrics to identify improvement opportunities
• Translate data into meaningful insights that inform strategic decision-making by senior leaders
• Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions
• Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making
• Dive deep into technical and operational details to resolve complex problems, coordinating with engineering teams as needed
• Thrive in a dynamic, fast-paced environment, leveraging strong analytical skills, business acumen, and the ability to operate at scale.
• Define, develop, and maintain critical business and operational metrics reviewed on a regular basis.
• Analyze historical data to identify trends and support decision-making, including presenting results and recommendations.
• Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting.
• Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics.
• Provide actionable insights to senior leaders to inform strategies in critical areas.
  About the team
  Come be a part of a rapidly expanding $45 billion dollar global business. At Amazon Business Services, we stand at the intersection of tech and retail in the B2B space, developing innovative purchasing and procurement solutions for organizations of all sizes - from individual proprietors to global enterprises. We set out every day to disrupt the status quo by delivering efficient solutions that help businesses re-imagine buying. This is an exciting opportunity to join a fast-paced, quickly growing business segment within Amazon.

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

Preferred Qualifications

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