À propos
Amazon is committed to creating a safer and more productive work environment through its Workplace Health and Safety (WHS) initiatives. They are seeking a Business Intelligence Engineer to support the WHS Data team in providing reporting solutions that drive workplace safety and regulatory compliance, while engaging with senior leaders to generate insights and metrics that impact strategic decisions.
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 leadership • Identify opportunities and key criteria to drive analytical reporting and business strategy • Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting • Simplify and automate reporting, audits, and other data-driven activities • Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights • Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation • Learn new technology and techniques to meaningfully support product and process innovation
Qualifications : Required : • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data querying or modeling with SQL • Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) • Experience with data visualization using Tableau, Quicksight, or similar tools • Bachelors degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field
Preferred : • Experience applying basic statistical methods (e.g. regression) to difficult business problems • Masters degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field
Company :
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
Avis aux utilisateurs
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