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You will own projects end-to-end, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. This will involve:2. Building the data structure, transformation processes, load jobs in Redshift and data processing and presentation.
3. Automating tasks.
4. Debugging report issues and unblocking workflows.6. Modifying reports via changes to underlying SQL.
7. Fielding report related questions from stakeholders.
8. Documenting tools and processes.
9. Keep up to date on latest BI technologies and AWS products to ensure we deliver the best CX.
10. Support on LLM playgrounds/prompt engineering leveraging existing AI tools
Tools used include:
1. SQL (Redshift)
2. ETL tools
3. Scripting for automation (Python)
4. Quicksight
5. Advanced Excel/VBA
6. LLM playgrounds/Bedrock/Partyrock
7. Other AWS technologies (Cloud Watch, Sagemaker, Lambda, Klaskson&Pyramid, S3, Cradle)
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 SQL
- Experience in the data/BI space
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