Senior Business Intelligence Engineer, Inbound Transportation
11 hours ago
Amazon Inbound Transportation Business Intelligence is seeking a candidate who is passionate about leveraging data to deliver actionable insights that impact business decisions to improve customer experience.
As a Senior Business Intelligence Engineer, you will partner with various Amazon Inbound Transportation teams to define, develop, and manage the cross-functional strategy for U.S. domestic inbound transportation.
You will be accountable for identifying gaps and opportunities for improvements, and keeping stakeholders/leadership informed of progress.
This role offers the opportunity to influence and drive a growing business area.
Key Responsibilities- Develop and lead design and execution of reporting solutions for AIT
- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs
- Build self-service tools and dashboards that provide aggregated metrics and granular data for defect verification, customer communication, deep-dives, etc.
- Perform deep-dives and data analysis, providing recommendations on new metrics or business decisions
- Mentor teammates, provide inputs in team and org-level strategic planning, lead cross-org discussions
Amazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon's inbound network while providing Amazon with greater control, performance, and inbound visibility.
The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.
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
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing, and communicating results to senior leadership
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