Senior Data Analyst

1 day ago


Orlando, Florida, United States The Garage In Full time
About The Role

We are seeking a highly skilled Senior Data Analyst to join our team at The Garage In. As a key member of our Data and Analytics team, you will play a critical role in helping our clients understand and utilize our Population Health Management platform.

Key Responsibilities
  • Data Expertise: You will be responsible for reviewing and evaluating client data to ensure its complexity and completeness, and for generating data models and dictionaries to help clients understand their data.
  • Client Communication: You will work closely with clients to explain their data models, data dictionaries, and analyses, and to provide insights and recommendations to help them achieve their goals.
  • Collaboration and Problem-Solving: You will collaborate with Business Analysts and Project Managers to understand client needs and provide data expertise to support the delivery process.
  • Process Improvement: You will develop procedures to prepare, transform, and cleanse data prior to analysis, and implement process improvements to increase efficiency and scalability.
Requirements
  • Education: Bachelor's degree or equivalent in a relevant field, such as mathematics, statistics, computer science, or economics.
  • Experience: 3+ years of experience as an analyst, working with data (preferably healthcare data) to produce insights and output used by teams to drive interventions and/or actions.
  • Skills: Strong verbal and written communication skills, ability to pay attention to detail, solid understanding of data sources, data organization, data processing, and data storage/warehousing, strong IT and mathematical skills, and experience with database and model design and segmentation techniques.
Preferred Qualifications
  • Advanced Education: Bachelor's degree specifically in mathematics, statistics, computer science, or economics.
  • Healthcare Experience: Experience working with healthcare datasets, knowledge of relevant relational databases, and experience with database and model design and segmentation techniques.

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