Minimum Requirements: 5+ years of relevant experience in business intelligence or Industrial Controls related role, including data warehousing and business intelligence tools, techniques and technology.
Experience in diving deep on data analysis or technical issues to come up with effective solutions.
Experience in analytics, business analysis or comparable consumer analytics solutions.
Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.
Excellent knowledge and expertise with SQL, Linux, OLAP, and Relational, NoSQL Multi-dimensional Databases, Big Data.
Excellent knowledge of data warehousing concepts.
Experience in data mining, ETL, etc.
Knowledge and direct experience using business intelligence reporting tools like QuickSight, Tableau, Power BI.
Top-notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms.
Job Summary: Amazon is looking for a Business Intelligence Engineer to provide statistical and analytical insights from the vast array of services powering one of the world's largest Reliability, Maintenance Engineering (RME) platforms.
As part of the Maintenance Automation Platform team, we support the business in all aspects of the traditional automation pyramid, and we collect, store, analyze and vend machine data to internal consumers within Amazon's EU Fulfillment Network.
The systems we manage link our low-level automation systems with the cloud and we work at the cutting edge of all aspects of the automation pyramid, from device level to the enterprise level.
The more complex systems leverage Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.
Responsibilities: Architect, design, implement, and support a platform providing secured access to large datasets.
Interface with business customers and deliver complete BI solutions.
Model data and metadata to support ad-hoc and pre-built reporting.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
to drive key business decisions.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Analyze and solve problems at their root, stepping back to understand the broader context.
Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
Respond to high priority requests from senior business leaders.
Learn and understand a broad range of Amazon's data resources and know when, how, and which to use.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets.
About Our Rewards: We'll expect you to go the extra mile, but we'll also make sure you're well rewarded.
As well as a competitive salary, stock units and site performance-related pay potential, we offer a whole host of other benefits, including an employee discount.
Additionally, you will find yourself in a stimulating environment where you can develop processes as well as yourself by working with some of the best and brightest minds in the industry.
Our rapidly growing organization also offers many opportunities for building a diverse and rewarding career.
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
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