Bachelor’s degree in information technology, Computer Science, Statistics, Engineering, Mathematics, Economics, Business Analytics, Data Science, Accounting or related fields is required.
Minimum 7+ years of previous work experience with managing large datasets and programming.
7 years’ experience in full SDLC methodologies and implementation methods.
Experience working with Python, specifically Pandas, ORM, SQL alchemy, OS, logging, urllib, NumPy, and Matplotlib packages.
Experience in Design, Develop, and Implement processes that intake multiple file types (Excel, Text, JSON, HTML, etc.) through ETL processes to store in existing SQL Server instances.
Experience working with data analytic tools, specifically PowerBI and Tableau; Other tool exposure and experience is a plus.
Experience working with Microsoft Excel tools, including Macros, Pivot Tables, and formulas (such as VLOOKUP and SUMIF); Power Pivot and Power Query is a plus.
Experience with SQL-based data manipulation; This role will work with an array of disparate data sources so experience writing efficient, performance-optimized queries is required and Microsoft SQL Server experience is necessary.
Experience within IDEs; Visual Studio Code experience is a must.
Royalty audit or music administration exp. required.