Business Analyst, Automation & Analytics
Flores, CRI
hace 5 días

Job summary

Organization Overview

In Kindle, authors are at the heart of what we do. It's that simple. We have a great team that thrives on innovation and our staff is talented, energetic, and passionate about creating an exceptional customer experience.

If you want to delight customers and solve complex business problems with data, the Business Analyst role is the job for you!


The Operations, Success, & Engagement (OSE) Business Intelligence team is looking for a self-motivated, experienced, and highly curious individual with strong data analytics and visualization skills.

In this role, you will own the design, development, and management of analytical tools and reporting that support the team's and business's needs.

You will need to work with leadership to use data to solve complex problems and drive business decisions. Writing high quality SQL using Amazon's wide variety of querying tools and developing visualizations to easily communicate your findings are critical skills.

You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Business Intelligence Engineers (BIEs) and Data Engineers (DEs).

The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions and be able to collaborate with BIEs and DEs to analyze data that will answer those questions.

You should have a solid understanding of how to operate autonomously within a cloud-based infrastructure to assemble the right data to drive business insights through analysis.


  • Bachelor's degree in Business Administration, Finance, Computer Information Systems, Engineering, Operations Research, Mathematics or other business disciplines or equivalent experience
  • Experience using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines
  • Proficiency with data querying or modeling technique with SQL and Python
  • Experience with Tableau Desktop and Server

  • Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
  • Experience developing, troubleshooting and maintaining cloud-based infrastructure (networking, server provisioning, storage, and real time data streams)
  • Analyst in a company with large, complex data sources and cross functional collaboration.
  • Experience with AWS Lambda, EventBridge events and application development with Lambda
  • Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets
  • Experience with Salesforce object management and extraction
  • Experience on AWS Cloud Formation, Code Pipelines, Code Build and Elastic Beanstalk
  • Customer service operations experience and knowledge background
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