Amazon

Senior Business Intelligence Engineer

1 month agoDetroit, MI

DESCRIPTION

Amazon's mission is to be the Earth's most customer centric company. Do you have what it takes to take an active role in that mission? The world's brightest minds come to Amazon to research and develop technology that improves the lives of shoppers, developers, publishers and sellers around the world. Amazon's vision is to offer the earth's largest selection and lowest prices to our customers. The Seller Customer Service team is uniquely positioned as the only team at Amazon that directly serves Buyers, Selling Partners and Third-Party Developers. Billions of times a year Amazon's customers rely on us to provide them with the tools necessary for the world's best buying experience.

Our primary customers are Buyers. We provide Selling Partners with the tools necessary to give Buyers the best experience possible. As a highly instrumented conduit for the customer experience, we make our data available to other teams and when our data raises deficiencies in another team's tools, we will seek them out to resolve the issue. Our success is measured by monitoring the number and length of customer interactions. We prioritize product investments in three key themes 1) eliminating Selling Partner contacts, 2) increasing first contact resolution rate, and 3) reducing the number of messages required to resolve a Selling Partner contact.

Our mission is to unleash this trove of data to create the world's best buying experience for each customer for each shopping mission. To this end, we are seeking a highly skilled and motivated Business Intelligence Engineer to join the Seller Customer Service team to provide transparency and insights into the customer experience leading to actionable recommendations which improve the experience and drive incremental business value.

Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across the team. These efforts will lead to things such aschanging the way customers receive packages, developing solutions to delight customers, and solve logistical challenges at an Amazon scale. You will develop a framework to understand the levers that drive a delightful Seller Customer Service experience for our Buyers and build automated reporting with actionable insights for stakeholders to improve the experience. Lastly, you will collaborate and innovate across various product teams, as we have fun solving hard problems.

This position requires high judgment, excellent analytical abilities, a creative mind to invent solutions to improve the customer delivery experience; it also offers broad exposure to various business, operational, financial, and technical teams across Amazon. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you are passionate about customer experience, detail oriented, organized, and systematically break down problems with ease, we would love to speak with you!

Responsibilities include:

  • Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our goals
  • Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
  • Build scalable solutions / self-serve platforms that will provide data / KPIs to inform business decision making
  • Acquire various data sources to enable holistic analysis at a global level
  • Build various data visualizations to tell the story and let the data speak for itself
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Proactively developing new metrics and studies to quantify customer behavior.
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.

BASIC QUALIFICATIONS

  • 5+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
  • Demonstrated strength in data mining and data-set preparation using SQL.
  • Demonstrated strength to draw insights from data and clearly communicate them to the stakeholders and senior management as required, verbally, written, and through data visualizations.
  • Proficiency with a scripting language (Java, Python, or R).
  • BA/BS in Computer Science, Engineering, Mathematics or related experience.
  • Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data.


PREFERRED QUALIFICATIONS

  • 8+ years of experience in a data engineer or BIE role with a technology company.
  • Experience conducting large scale data analysis to support business decision making.
  • Experience using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines.
  • Experience working in large data warehouse environments.
  • Experience in data mining, SQL, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field.
  • Analyst in a company with large, complex data sources and cross functional collaboration.
  • Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.

Client-provided location(s): Detroit, MI, USA
Job ID: Amazon-1548353

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