Sofía V.
About Sofía V.
Sofía V. is an Analytics Engineer and Content Creator based in Barcelona, Spain, with a diverse background in data analysis, digital marketing, and content creation. She holds a Bachelor of Computer Science and is currently pursuing a degree in Mathematics while working at Hello Data Blog and MediaMarktSaturn.
Work at MediaMarktSaturn
Currently, Sofía V. serves as an Analytics Engineer at MediaMarktSaturn, a position she has held since 2022. In this role, she focuses on data analysis and engineering, contributing to the company's data-driven decision-making processes. Her responsibilities include developing and maintaining data processes using Dataform on Google BigQuery and optimizing tracking concepts for consumer applications. This position allows her to leverage her analytical skills and technical expertise to enhance business performance.
Education and Expertise
Sofía V. is pursuing a degree in Mathematics at VIU, which complements her background in computer science and data analytics. She holds a Bachelor of Computer Science from Universitat Oberta de Catalunya, expected to be completed in 2026. Additionally, she achieved a Master of Applied Statistics from Universidad Nacional de Educación a Distancia in 2022. Her educational journey also includes a Data Science Bootcamp from NEOLAND and a Postgraduate Degree in Marketing Data Analytics from UNIR, enhancing her skills in machine learning, forecasting, and data visualization.
Background
Sofía V. has a diverse professional background in data analytics and digital marketing. She began her career as a Copywriter & Content Specialist at Privalia, followed by roles as a Digital Marketing Specialist at Schneider Electric and Hays. She transitioned to data-focused positions, including a Digital Data Analyst role at Nestlé Nespresso SA and a Global Data Analyst position at PageGroup. Her experience spans various sectors, showcasing her adaptability and expertise in both marketing and analytics.
Achievements
Throughout her career, Sofía V. has demonstrated a commitment to enhancing business performance through data analysis and visualization. She has designed reports and dashboards using Tableau, showcasing her skills in data visualization. Her involvement in machine learning projects, particularly in forecasting and clustering, indicates her strong specialization in these areas. Additionally, her proactive approach to optimizing app performance reflects her dedication to improving consumer experiences through data-driven strategies.