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Business Intelligence Engineer, Customer Experience and Business Trends

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Amazon

20d ago

  • Job
    Full-time
    Mid Level
  • Data
    Business, Operations & Strategy

AI generated summary

  • You should have 3+ years in data analysis with Redshift, SQL, and Python; expertise in Tableau or similar tools; experience with ETL, statistical methods, and AWS solutions.
  • You will design and manage scalable analyses, identify data sources, simplify processes, present findings to stakeholders, and perform statistical tests, including A/B testing.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience in using Statistical methods to solve specific business problems
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Responsibilities

  • Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs
  • Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences.
  • Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience.
  • Ability to clearly articulate assumptions, methodologies, results, and implications.
  • Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding.
  • Perform statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing.

FAQs

What is the primary focus of the Business Intelligence Engineer role in the CXBT team?

The primary focus of the Business Intelligence Engineer role is to analyze and deliver insights that help improve customer experience by understanding customer needs, perceptions, and experiences.

What are some key responsibilities of the Business Intelligence Engineer?

Key responsibilities include owning and managing scalable solutions for analyses, identifying and inventing new data sources and methodologies, simplifying and automating processes, articulating assumptions and results, and presenting analyses to stakeholders.

What qualifications are required for the Business Intelligence Engineer position?

Required qualifications include 3+ years of experience in data analysis with Redshift, Oracle, NoSQL, experience with data visualization tools, data modeling, warehousing and ETL pipelines, familiarity with statistical analysis packages, and proficiency in SQL and Python.

Are there any preferred qualifications for the Business Intelligence Engineer role?

Yes, preferred qualifications include experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift, as well as experience in data mining and working with large-scale, complex datasets.

What kind of statistical analysis experience is expected for this role?

The role requires experience in performing statistical tests, including hypothesis testing, and familiarity with A/B testing.

Who does the CXBT team collaborate with?

The CXBT team collaborates with a diverse range of functions including Product Managers, Data Scientists, Business Analysts, Risk Managers, and more, to improve customer experience across Amazon.

Is training provided for candidates who may need assistance during the application process?

Yes, Amazon provides support and accommodations for candidates with disabilities during the application and hiring process. Detailed information can be found on the Amazon Jobs website.

What tools are preferred for data visualization in this role?

Preferred tools for data visualization include Tableau, Quicksight, or similar tools.

What types of data sources should the Business Intelligence Engineer expect to work with?

The Business Intelligence Engineer will work with various data sources including Redshift, Oracle, NoSQL databases, and will be responsible for identifying new data sources to enhance insights.

How does the CXBT team approach improving customer experience?

The CXBT team approaches improving customer experience by determining customer needs and solving problems based on those needs while leveraging both technical and non-technical methodologies.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.