ADCI
Technology
BusinessIntelligenceEngineer,WHSData
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer, WHS Data at ADCI. Skills: Business Intelligence, Data Engineering, Data Analysis, Reporting Solutions. Contribute to design of BI solutions. Contribute to implementation of BI solutions”
Industry & Context.
Complex problems; Ambiguous problems; Business problem statements
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, Data warehousing experience, Building ETL pipelines 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, Using databases in business environment, Large-scale, complex datasets experience
What You'll Do.
Contribute to design of BI solutions
Contribute to implementation of BI solutions
Contribute to delivery of BI solutions
Conduct deep dive analyses
Formulate conclusions
Formulate recommendations
Identify opportunities for analytical reporting
Identify key criteria for analytical reporting
Identify opportunities for business strategy
Identify key criteria for business strategy
Produce written recommendations
Produce written insights
Simplify data-driven activities
Automate data-driven activities
Partner with Data Engineering
Enhance data infrastructure
Enhance data availability
Enhance access to customer insights
Develop best practices in data integrity
Develop best practices in data consistency
Develop best practices in data analysis
Develop best practices in data validation
Develop best practices in documentation
How You'll Work.
Team & Collaboration
Senior leaders engagement; Principal PMs engagement; Customer groups; Stakeholder groups; Leadership groups
Communication Scope
Communicate project roadmap; Communicate prioritization; Communicate release notes
Process & Methodology
Project roadmap, Prioritization, Release notes
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 Under the roof (UTR) 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 le
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