Share
Key job responsibilities
1. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations3. Mining and manipulating data from database tables, simulation results, and log files
4. Identifying data needs and driving data quality improvement projects6. Thought leadership on data mining and analysis
9. Develop ETL pipelines to process and analyze cross-network data.
A day in the life
- 3+ 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
These jobs might be a good fit