Job Information
Amazon Business Intelligence Engineer, International Devices Data Services in Sao Paulo, Brazil
Description
The Amazon International Devices team is looking for a Business Intelligence Engineer to deliver analytical solutions that deepen our understanding of customers. This is a unique opportunity for someone interested in working with big data related to Amazon devices like Fire TV and Echo. You will be joining the International Devices Data Services (IDDS) team, whose mission is to enable data-driven decision-making by providing data, reporting, and actionable insights.
The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills in English, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools), have experience with scripting languages like Python, and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.
This person will work closely with the Sales & Marketing teams, Analysts, and Data Engineers across Amazon Devices.
The ideal candidate will:
Build scalable reporting solutions and self-serve tools that provide data/KPIs to inform business decision making.
Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape sales & marketing roadmaps.
Leverage technical skills to invent on behalf of our business stakeholders.
Develop a thorough understanding of Amazon’s devices data sets, customer behavior, competitive product trends, and business drivers to inform decision making.
Work with data sources across Amazon products & services (e.g., Alexa, Prime, Prime Video).
Key job responsibilities
Owning the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards, to drive key business decisions.
Champion best practices in data acquisition, identifying data needs, driving data quality improvement projects, and raising the technical bar for the team.
Work with big data to drive insights related to customer needs.
Collaborate with business stakeholders as a subject matter expert and leader of ongoing analytical support.
A day in the life
In this role you will:
Demonstrate excellent analytical and technical abilities, and use data to make recommendations that will drive key business decisions.
Design automated BI solutions for recurrent reporting.
Be a self-starter who is comfortable with ambiguity, has attention to detail, and can work in a fast-paced environment.
Write crisp, clear narrative documents for business stakeholders.
Work in a collaborative and international team environment.
Develop and execute data-driven ideas for innovation, automation, and efficiency.
About the team
The International Devices Data Services (IDDS) team’s mission is to enable data-driven decision making by providing data, reporting, and actionable insights to Amazon Devices. Our team has a diverse mix of talent, combining Business Intelligence Engineers, Data Engineers, and a Project Manager into a single team which allows us to own data driven solutions end-to-end. We have technical skills across a wide range of technologies and AWS services to deploy solutions at scale. This includes leveraging Python and AWS services like Lambda, S3, and Redshift.
We are open to hiring candidates to work out of one of the following locations:
Sao Paulo, SP, BRA
Basic Qualifications
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Possess proficient written and verbal communication skills in English.
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
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
Ability to carry out statistical analyses.