Data Analyst

Data Analyst Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed: eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs. Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support. About the Role: We are looking for a passionate certified Data Analyst with call center experience. The successful candidate will turn data into information, information into insight, and insight into business decisions. Data analysts will develop analysis and reporting capabilities. In addition, they will monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data stores, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing visualizations, reports, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Requirements Strong knowledge of and experience with reporting packages (Tableau, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing, and presenting findings BS in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent experience Experience with event sourcing and event-driven architecture is a plus Experience with AWS-hosted data lakes and data tools is a plus Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off Short Term & Long Term Disability Training & Development Catered breakfast and lunch daily, snacks Wellness Resources #J-18808-Ljbffr