Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Seattle (King)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

Amazon is looking for a motivated individual with strong analytical skills and technology experience to join our Sales & Operations Planning team (S&OP).
In this position, the successful candidate will be responsible for identifying opportunities and implementing initiatives to improve inventory placement and order fulfillment to our customers. As a member of the S&OP team, they will play an integral part in Amazon.com's inventory management by successfully partnering with various operations, transportation, IT, retail, and finance teams to support new business initiatives. The candidate should enjoy diving into data then recommending and executing solutions to enhance the supply chain. Position provides opportunities to influence one of the high visibility/high impact areas in the organization.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.
This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytical projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon's customers.
The complexity of research and skills for this role is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, knowledge of software applications to create tools, and understanding of multiple programming languages.

The following provides some detail of the job duties and responsibilities.

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· Use analytical and statistical rigor to solve complex problems and drive business decisions.
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· Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL.
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· Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX)
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· Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards
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· Perform deep-dives and root cause analysis to answer business questions

Desired profile

BASIC QUALIFICATIONS

· BS in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Applied Economics or in another quantitative field OR 2+ years of Amazon experience
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· 6+ years of hands-on experience in data mining and/or quantitative analysis – both descriptive and inferential/predictive analysis.
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· Fluent knowledge of relational databases (SQL).
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· Experience with analytics tools such as R or Python
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· Experience working with very large, disparate data sets
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· Ability to distill problems and constraints from informal business requirements and to be comfortable dealing with ambiguity and competing objectives
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· Proven capability to identify opportunities to combine disparate data sources to uncover new business insight
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· Ability to distill problems and constraints from informal business requirements and to craft an analytic approach to solving the issue
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· Ability to distill and communicate complex analysis and insights in oral presentation and written form

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