Sixto Ramírez Parras

Sixto Ramírez Parras has a diverse work experience in the field of business analysis and consulting. Sixto started their career as a Business Consultant at Solchaga Recio & asociados in 2017, where they conducted market research, proposed competitive strategies, and performed macroeconomic analysis. In 2018, they joined Stage Entertainment as a Business Analyst, working on projects related to "The Lion King" and "Anastasia" musicals. Sixto'sresponsibilities included implementing pricing and revenue management strategies, optimizing business performance, and monitoring revenue initiatives. Currently, they are employed at Keesing Media Group B.V. as a Business Data Analyst. Here, they are responsible for analyzing sales, supporting various departments, and increasing revenue through data analysis and business intelligence.

Sixto Ramírez Parras has a strong educational background in economics and applied economics. Sixto began their education journey in 2011 at the Universidad de Granada, where they obtained a Bachelor's degree in Economics in 2015. Following that, they pursued further studies at the University College Dublin through the Erasmus program, focusing on economics in their final year of the degree. In 2017, Sixto enrolled at the Universidad Carlos III de Madrid and successfully completed a Master's degree in Industrial Economics and Markets, specializing in applied economics.

In addition to their formal education, Sixto Ramírez Parras has also obtained various certifications in data analysis and business strategy. Sixto completed courses such as "Operations Analytics," "Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions," and "The Data Scientist's Toolbox" through Coursera, which enhanced their skills in these areas. Furthermore, they obtained a certification in "Pricing Strategy" from Coursera, indicating their expertise in this specific field. Additionally, they have planned to pursue professional courses in PowerBI and SQL, which will further contribute to their knowledge and expertise in data analysis and programming.