Data Driven Business Insights Specialist
3 weeks ago
At Amazon, we are committed to delivering exceptional customer experiences and driving business growth. We are seeking a talented Data Driven Business Insights Specialist to join our team in the AWS Support organization.
About the RoleThis role is an exciting opportunity for a seasoned Business Intelligence Engineer to contribute to the development of robust and trustworthy data infrastructure that supports our truly data-driven organization. As a Data Driven Business Insights Specialist, you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding of support business and operations.
You will implement KPIs into dashboards/reports that drive decisions made by senior leadership. The ideal candidate will have opportunities to develop true dashboards that are information-rich and flexible yet intuitive and easy-to-use, helping the support leadership quickly discover golden insights to serve AWS customers better.
The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of the key leading indicators for new customer demands and for problems yet to be discovered.
This role offers the opportunity to work on modern agile cloud-based data technologies and select the right technology based on customer needs. You will have access to the full set of AWS services in your toolbox.
Key Responsibilities- Understand loosely defined or structured problems.
- Provide BI solutions for difficult problems and deliver large BI solutions.
- Develop solutions that drive team business decisions and highlight new opportunities.
- Improve code quality and optimize BI processes.
We are looking for someone with basic understanding of a scripting language, knowledge of modeling data and designing a data pipeline, and ability to apply basic statistical methods (e.g. regression) for difficult business problems.
Requirements- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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 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.
- Experience with forecasting and statistical analysis.
We offer a competitive salary range of $110,000 - $170,000 per year, depending on experience and qualifications.
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