Data Analyst, Transcriptionist

Taux horaire: membres seulement

Disponibilité: membres seulement

Disponibilité à voyager: Partout dans le monde

Statut professionnel: Pigiste

Dernière mise à jour: 28 mars 2025

Expérience de travail totale: 3 année(s)

Connaissances linguistiques: Anglais,

Sommaire professionel

Data Analysis: Proficient in data collection, cleaning, and analysis using tools like Python, R, and SQL. Experienced in statistical analysis and data visualization for meaningful insights. Transcription: Accurate and efficient transcription skills, with attention to detail and adherence to specific style guides. Familiarity with transcription software and the ability to transcribe audio content into written text. Interpretation: Strong interpreting skills, facilitating effective communication between individuals with different language backgrounds. Comfortable with simultaneous and consecutive interpretation in various settings. Technical Proficiency: Comfortable using a variety of software tools and platforms for data analysis, transcription, and interpretation. Problem-Solving: Analytical mindset with the ability to identify patterns, trends, and discrepancies in data. Quick problem-solving skills, essential for addressing challenges in transcription and interpretation tasks. Certifications: Data Analysis Certification: Obtained certification in data analysis, showcasing expertise in handling and interpreting data effectively. Interpreter Certification: Cousera Certified interpreter with proficiency in multiple languages, demonstrating the ability to facilitate communication in diverse scenarios. Degrees: Bachelor's Degree in Global Challenge - Data Anlysis and communications. Completed a degree program focused on data science, providing a solid foundation in statistical methods, programming, and data analytics. Additional coursework or degrees in linguistics, enhancing language skills and understanding nuances in communication. Language Proficiencies: Fluent in English Proficient in the primary language for both data analysis and interpretation tasks. Education: College/University in Liberal arts and humanities

Compétences