Amazon.com Services LLC

Data Science, Business Intel Engineer, Logistics

BusinessIntelligenceEngineer,WHSData

$100–160k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Intelligence Engineer, WHS Data at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Data Analysis, Reporting. Contribute to BI solutions design. Implement BI solutions”

Industry & Context.

Data Science, Business Intel Engineer, Logistics
Problems you'll solve

Deep dive analyses; Business problem statements; Data-driven activities

What They're Looking For.

Must Have

Bachelor's degree in quantitative field, 3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Data modeling experience, Warehouse building experience, ETL pipeline building experience, Data visualization experience, Tableau experience, Quicksight experience

Nice to Have

Master's degree in quantitative field, 5+ years analyzing data, AWS solutions experience, Data mining experience, ETL experience, Business environment database experience, Large-scale datasets experience, Complex datasets experience

What You'll Do.

Contribute to BI solutions design

Implement BI solutions

Conduct deep dive analyses

Formulate conclusions

Formulate recommendations

Identify opportunities

Identify key criteria

Drive analytical reporting

Drive business strategy

Produce written recommendations

Produce written insights

Shape metric development

Simplify data-driven activities

Automate data-driven activities

Partner with Data Engineering

Enhance data infrastructure

Enhance data availability

Enhance access to insights

Develop best practices

Support product innovation

Support process innovation

How You'll Work.

Team & Collaboration

Senior leaders engagement; Principal PMs engagement; Customer groups engagement; Stakeholder groups engagement; Leadership engagement; Data Engineering partnership

Communication Scope

Project roadmap communication; Prioritization communication; Release notes communication; Written recommendations; Written insights

Process & Methodology

Project roadmap communication, Prioritization communication, Release notes communication

Full Job Description

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better. The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Business Unit (BU) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership. Key job responsibilities -Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems -Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to lead

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