Role - Data Analyst
Location Atlanta, GA (Hybrid)
Technical Skills - Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of SAS, Python, or R. Others desired to be cognizant of are Spark, T-SQL, and PL-SQL.
- Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit
- Knowledge of data migration and integration across datasets and technology platforms
- Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions
- Ability to transform technical jargon into meaningful business insight at varying levels of the organization
- Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools.
- Experience working with large enterprise databases with demonstrated ability to independently query and prepare data for analysis.
- Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment.
- Basic HTML knowledge
- Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.
- Advanced level of proficiency with Power BI, Microsoft Excel, Access, Word, and PowerPoint
- Ability to locate and summarize data characteristics