Business Intelligence Engineer- Sustainability

Job description

DESCRIPTION

Amazon Compliance Shared Services is looking for analytical and technically skilled BI Engineer to join our team. This position will be responsible for building and supporting the business analytics platform that supports the Health, Safety, Sustainability, Security and Compliance (HS3C) team. The incumbent will be responsible for designing and supporting best-in-class data infrastructure and reporting solutions to aid HS3C program managers in decision making. S/he will continue to raise the bar for the business analytics function and reporting framework.

This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as outstanding business acumen and ability to work with various teams across Amazon. Candidate needs to have excellent SQL and data modeling skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.

Responsibilities:
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don't quit. You will also have the opportunity to display your skills in the following areas:
· Architect, design, implement and support a platform providing secured access to large datasets.
· Interface with business customers and delivering 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 and which not to use.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets

The ideal candidate would have outstanding business acumen, a restlessness to answer “why?” questions, excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams. S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment. Work closely with HS3C teams and the broader BI community.

Desired profile

BASIC QUALIFICATIONS

· 3+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, as well as 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, Big Data.
· Excellent Knowledge of data warehousing concepts.
· Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
· Knowledge and direct experience using business intelligence reporting tools like QuickSight, Tableau.
· Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
· Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.