REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Business Intelligence Engineer , TOM Central Program - Data Infra Team
XX
Senior Business Intelligence Engineer , TOM Central Program - Data Infra TeamAmazon • Bellevue, Washington, United States
Jetzt Bewerben
XX

Senior Business Intelligence Engineer , TOM Central Program - Data Infra Team

Amazon
  • US
    Bellevue, Washington, United States
  • US
    Bellevue, Washington, United States
Jetzt Bewerben

Über

Description Are you passionate about diving deep into data and engineering scalable metrics that drive continuous improvement across Amazon’s global delivery operations? Do you excel at solving complex problems using data-driven insights and building solutions that scale with growing worldwide demand? Are you excited to build AI-ready data infrastructure and drive AI-enabled insights that power smarter, faster decision-making across Amazon Transportation? If so, the TOM Central Program Data Infrastructure team is the place for you. We are building the world’s fastest, most reliable, and lowest-cost transportation network—giving customers greater control and visibility—and we are looking for a top‑notch Senior Business Intelligence Engineer to help lead this mission.
As a Senior Business Intelligence Engineer, you operate within one of the world’s most complex data environments, owning the design and evolution of scalable, high‑impact, and AI‑ready data infrastructure. You bring deep expertise in data modeling and large‑scale dataset design, building reliable, well‑governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI‑enabled insights that improve TOM Operations efficiency, automation, and decision‑making.
You lead the development of robust, scalable, and cost‑efficient data pipelines, ensuring high data quality, accessibility, and operational excellence across the end‑to‑end data lifecycle. You continuously evolve data systems to better support AI‑driven analytics and insight generation, enabling faster and smarter business decisions. As a technical leader, you influence cross‑team design decisions, mentor engineers, and build reusable data solutions that unlock AI‑powered insights at scale. Above all, you are passionate about transforming data into intelligence‑driving AI‑enabled insights that power operational excellence and data‑informed decisions across the organization.
Key Responsibilities
Own and build scalable, automated reporting and analytics solutions, enabling self‑service insights across TOM Operations.
Develop AI‑ready data models and datasets, driving AI‑enabled insights to improve operational efficiency and decision‑making.
Partner with business and technical stakeholders to translate ambiguous problems into data‑driven solutions and influence strategy.
Design and optimize robust, cost‑efficient data pipelines and metrics frameworks, ensuring data quality and reliability.
Build and evolve business‑critical dashboards and KPIs, raising the bar on insight quality and usability.
Drive process simplification and automation, including leveraging AI to accelerate insight generation and reduce manual effort.
About the Team TOM Central Programs serves as the connective tissue between TOM Operations and partner organizations, enabling operational excellence through strategic support across program excellence & analytics, learning & development, data infrastructure, automation implementation, integration, and security. We own these programs from end to end, anticipating bottlenecks, resolving blockers, managing escalations, and balancing business needs versus technical constraints.
Basic Qualifications
5 years of processing large, multi‑dimensional datasets from multiple sources experience
5 years of SQL, ETL or Oracle experience
5 years of developing automated reporting 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
Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation & Benefits The base salary range for this position is 130,400.00 – 176,300.00 USD annually. 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.
#J-18808-Ljbffr
  • Bellevue, Washington, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.