Business Intelligence Engineer

at  Amazoncom Services LLC

Austin, Texas, USA - 00000

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate03 Dec, 2020Not Specified03 Sep, 20203 year(s) or aboveKpi,Finance,Java,Mathematics,Etl,Dashboards,Statistics,Computer Science,Ux,Product Management,Data Integrity,Data Solutions,Self Service,Building Models,Python,Databases,Nlp,Algorithm Design,R,Data Mining,Sql,FeaturesNoNo
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

  • 3+ years of relevant experience as a data engineer, business analyst, product analyst, data scientist, software engineer, business intelligence engineer, or equivalent.
  • Proficiency with data querying or modeling technique with SQL
  • Experience using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines
  • Bachelor’s degree in Business Administration, Finance, Computer Information Systems, Engineering, Operations Research, Mathematics or other business/analytical disciplines or equivalent experience
  • A desire to work in a collaborative, intellectually curious environment
    Amazon Business (https://business.amazon.com) launched in 2015 to meet the business purchasing needs of commercial, government, education and non-profit customers of all sizes worldwide. Today, Amazon Business is loved by diverse customers in 9 countries worldwide (and growing), ranging from the largest companies in the world such as General Electric to sole proprietors, using experiences designed for desktop, mobile, to smart shelves. Business buy more than $1 trillion of products each year, ranging from staples to DNA sequencers, in the US alone. By 2018, Amazon Business had already reached $10 billion in sales and remains one of Amazon’s fastest growing segments. And we’re just getting started.
    Amazon Business’s Voice of the Customer (VOC) team is responsible for enabling customer obsession at scale. The VOC team helps Amazon Business listen, understand, act, and measure customer perception across multiple qualitative feedback channels across the globe. The learnings and insights support all aspects of Amazon Business from long-term strategy through feature team execution.

As a Business Intelligence Engineer (BIE) on the VOC team, you will have the opportunity to work across Amazon Business in a mission critical role. A successful BIE is someone who can dive deep into large amounts of data, has good business intuition, curiosity, grit to deal with ambiguity, and the desire to influence strategic decisions with data-driven analysis and insights. Working with the business teams and collaborating with key stakeholders across the company, you will have the opportunity to design and implement features to enhance the experience of your customers. As part of the the Business VOC team you will:

  • Answer critical business questions using data - Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
  • Establish KPI’s and highlight opportunities - Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
  • Build best-in-class datasets - Scope, build and own technical data warehouse processes using a broad range of Amazon’s data resources to help the business scale.
  • Automate reporting and BI - Build automated data solutions and dashboards to enable your team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.
  • Build analytical models - Perform analytics across multiple data sources, building models that are both scalable and extensible to business needs.
  • Contribute to NLP and ML - Become proficient in best-in-class natural language processing (NLP) standards and contribute to ML improvements.
  • Be a trusted partner - Collaborate with software engineering, product management, marketing and UX as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity.
  • 5+ years in relevant experience as data scientist, data engineer, software engineer, business intelligence engineer, or equivalent.
  • Strong fundamentals in problem-solving, algorithm design and complexity analysis.Masters
  • Proficiency with a scripting language (Java, Python, or R)
  • Experience in data mining, SQL, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
  • Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities:

  • Answer critical business questions using data - Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
  • Establish KPI’s and highlight opportunities - Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
  • Build best-in-class datasets - Scope, build and own technical data warehouse processes using a broad range of Amazon’s data resources to help the business scale.
  • Automate reporting and BI - Build automated data solutions and dashboards to enable your team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.
  • Build analytical models - Perform analytics across multiple data sources, building models that are both scalable and extensible to business needs.
  • Contribute to NLP and ML - Become proficient in best-in-class natural language processing (NLP) standards and contribute to ML improvements.
  • Be a trusted partner - Collaborate with software engineering, product management, marketing and UX as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity.
  • 5+ years in relevant experience as data scientist, data engineer, software engineer, business intelligence engineer, or equivalent.
  • Strong fundamentals in problem-solving, algorithm design and complexity analysis.Masters
  • Proficiency with a scripting language (Java, Python, or R)
  • Experience in data mining, SQL, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
  • Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required


REQUIREMENT SUMMARY

Min:3.0Max:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Computer Science, Engineering, Finance, Mathematics, Statistics

Proficient

1

Austin, TX, USA