Sr. Business Intelligence Engineer

Sr. Business Intelligence Engineer

Amazon Web Services (AWS)
5-8 years
Not Specified

Job Description



DESCRIPTION

The Consumables Shopping Experience (CSE) team is seeking an experienced Business Intelligence Engineer to deliver a world class shopping experience on amazon.com.

We are looking for an outstanding Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.

Core Responsibilities
Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling
Evolve organization wide Self-Service platforms
Building metrics to analyze key inputs to forecasting systems
Leading complex analytical deep dives (Segmentation, A/B testing)
Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

BASIC QUALIFICATIONS

5+ years of experience as an analyst or engineer in the data/BI space
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with SQL

5+ years of experience as an analyst or engineer in the data/BI space
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with SQL

Bachelor's or Master's Degree in Computer Science or related field
Equivalent experience to a Bachelor's degree based on 4+ years of work experience for every 1 year of education
Computer Science fundamentals in DW, DB design, Reporting technology
Computer Science fundamentals in data structures
PREFERRED QUALIFICATIONS

Master's degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field
Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data.
Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight.
Experience working with redshift, Cradle or other AWS tools is a plus
Hands On experience with Python,R is a plus

Job Details

Employment Types:

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Job Source : www.amazon.jobs

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