Data Analyst

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🔥 34 minutes ago

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SHA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

🧘 Wellness

🏨 Hospitality

🏥 Healthcare

Wellness • Hospitality • Healthcare

SHA is a luxury wellness and health optimization destination and retreat operator. It provides clinically guided health programs focused on longevity, performance optimization, and overall wellbeing, marketed under the SHA Method and offered at resort destinations (notably in Spain and Mexico). The site emphasizes booking, contact channels (phone and WhatsApp), curated wellness experiences, and luxury hospitality presentation.

📋 Description

• Manage databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Collect required data, analyze results using statistical techniques and provide ongoing reports • Retrieve information from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Review computer reports, printouts, and performance indicators to locate and correct code problems • Collaborate with management to prioritize business and information needs • Find and evaluate new process improvement opportunities

🎯 Requirements

• 2+ years' experience of working on a Data Analyst or Business Data Analyst position • Significant experience of working with data models, database design development, data mining and segmentation techniques • Excellent knowledge of statistics and experience using statistical packages for analyzing datasets, including Excel, SPSS, SAS and so on • Good practical experience with reporting packages (e.g. Business Objects), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Good report writing and presenting skills • BS degree in Mathematics, Economics, Computer Science, Information Management or Statistics.