Business Intelligence Engineer, WHS Data
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.
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 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
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children.
Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you
At Amazon, we value people with unique backgrounds, experiences, and skillsets.
If you're passionate about this role and want to make an impact on a global scale, please apply
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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