Senior Business Intelligence Engineer
DESCRIPTION
PIPTO (Product Integration and Planning Tools) team owns the full-service tools suite for Devices demand planning and serves as a key tech enabler for Devices leadership meetings. We are seeking a Senior Business Intelligence Engineer to drive innovation in BI tools and reporting systems, with a focus on scalability, automation. This role involves solving complex business problems, navigating ambiguity and enabling data-driven decision-making across the Devices organization, including support for cross-org cost saving initiatives.
Key job responsibilities
- Develop scalable, automated processes for large-scale data analysis, along with innovative BI tools and reporting systems to solve complex business problems.
- Provide technical guidance and support to stakeholders for leveraging data visualization and analytics in decision-making, particularly for Cost-Out Initiatives (COI) across the Devices organization. Lead end-to-end project components, including data gathering, analysis, problem-solving, and communication of recommendations.
- Partner with stakeholders and engineering teams to prioritize, define, and standardize data metrics, while ensuring data accuracy and governance compliance.
- Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.
- Establish and implement best practices for BI development and operations to enhance team efficiency, while mentoring junior members to foster growth and adoption of BI standards.
About the team
PIPTO is a centralized team within the Device’s Inventory Optimization org that provides a cohesive approach to support different initiatives within Devices. We envision becoming the cornerstone of data-driven decision-making, empowering the organization with innovative, scalable, and intuitive BI solutions
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 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 data visualization using Tableau, Quicksight, or similar tools
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 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.