Business Intelligence Engineer, GS S&O - T&C
The AWS Training and Certification (T&C) organization educates customers, partners, and AWS employees on AWS services, products, and solutions.
As part of the T&C Business Insights & Analytics team, you will design and develop scalable data and reporting solutions to provide actionable insights into the key performance indicators (KPIs) and metrics that drive the organization.
We are seeking a talented Business Intelligence Engineer with experience in building reporting solutions to support the T&C business's data-driven decision-making.
If your skills, experience, and qualifications match those in this job overview, do not delay your application.
Key job responsibilities
- Collaborate with business stakeholders to understand their data and reporting requirements, and translate them into effective BI solutions.
- Design, develop, and maintain BI dashboards, reports, and visualizations using tools like Tableau, QuickSight, or similar.
- Ensure the accuracy, integrity, and timeliness of data used in BI solutions by implementing robust ETL (Extract, Transform, Load) processes.
- Contribute to the development and maintenance of the data warehouse and data modeling, ensuring an efficient and scalable BI data architecture.
- Automate BI processes and workflows to improve efficiency and reduce manual effort.
- Provide user support and training for BI tools and applications to the broader organization.
- Continuously identify and implement enhancements to BI solutions based on feedback and changing business requirements.
- Stay up-to-date with the latest BI trends, technologies, and best practices, and make recommendations for their adoption.
- Effectively communicate BI findings and recommendations to stakeholders at various levels of the organization.
BASIC QUALIFICATIONS
- 5+ 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.
PREFERRED QUALIFICATIONS
- 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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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