Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

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

Job description

DESCRIPTION

Want to transform the way people enjoy video? Come join the team that made Fire TV, Amazon Video, DirecTV, Hulu, Netflix and more available to Alexa customers. We are building a platform so that anyone can leverage the power of Alexa to ensure customers get to the content they care about, faster.

Amazon is seeking an experienced Business Intelligence Engineer who is looking to work in a new space to help define how we use multi-modal data (voice, mobile, desktop) to understand customer behavior and satisfaction. In this role, you will develop and support the analytic technologies, and provide customer insights that help drive engagement with music on Alexa. This includes implementation and operation of a BI tools, defining metrics and KPIs, and automating reporting and data visualization.
The successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

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 will also have the opportunity to display your skills in the following areas:
· Design, implement, and support a platform providing ad hoc access to large datasets
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· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
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· Model data and metadata for ad hoc and pre-built reporting
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· Interface with business customers, gathering requirements and delivering complete reporting solutions
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· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
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· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
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· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
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· Participate in strategic & tactical planning discussions, including annual budget processes

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
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· 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience (experience in consumer-facing industry preferred)
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· Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
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· Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
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· Experience communicating analytical outcomes in writing, including experience communicating with both business and technical teams

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