Senior Data Analyst

Job not on LinkedIn

June 21

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Logo of mymdoc

mymdoc

Healthcare Insurance • Artificial Intelligence • Wellness

mDoc is a health technology company that provides virtual self-care support to individuals managing chronic health conditions. Through innovative solutions such as CompleteHealth™, NaviHealth. ai™, and NudgeHubs™, mDoc empowers users with tailored resources and access to healthcare services. They focus on enhancing the wellness of their members by offering specialized programs for diabetes, hypertension, cancer support, and behavioral health, among others.

📋 Description

• This is a remote position. • mDoc is digital health social enterprise that leverages behavioral science, technology and quality improvement methodologies to provide improve access to quality healthcare for people with chronic health needs. • We are seeking a enquiring, precise data analyst to contribute to the design and build of analytic solutions that will inform business decisions, drive operations, measure our performance and validate our value as a company. • Healthcare data is complex and vast, so you must be excited about sinking your teeth into complex problems, untangling them and communicating your findings to the team. • If you like hard problems, have experience pulling insight out of complex structured and unstructured data sources, and are an amazing teammate, we want to hear from you!

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. • 4+ years of experience in Python for data analysis, automation, and statistical modeling. • Querying, optimizing, and managing large datasets from SQL and MongoDB databases. • Strong experience with data visualization tools (e.g., Power BI, Tableau, Google Data Studio). • Deep understanding of statistical analysis, including hypothesis testing, regression modeling, clustering, trend analysis, and time-series forecasting. • Strong experience in NLP for text analytics and sentiment analysis. • Knowledge of cloud-based analytics platforms (AWS, GCP, Azure). • Excellent problem-solving, analytical, and communication skills, with the ability to drive data-driven business decisions. • Strong leadership capability, with the ability to take initiative and drive the operations of the data team ensuring data accuracy, consistency, and reliability throughout the reporting process.

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