Data Analyst I at CLS Health in Webster, TX

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Job Description

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  Description
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  About Us:
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 We are a leading healthcare organization dedicated to delivering top-notch medical services to our patients. Our team is committed to innovation and excellence in healthcare, utilizing advanced technologies and data-driven solutions to improve patient outcomes.
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  Role Overview:
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 We are seeking a skilled Software Engineer and Data Analyst to join our team. The ideal candidate will have a strong background in software development and data analysis, with a passion for leveraging technology to enhance healthcare services. This role will involve designing and implementing software solutions, analyzing complex data sets, and collaborating with various departments to drive strategic decision-making.
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  Requirements
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  Key Responsibilities:
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   Software Development: Design, develop, and maintain software applications tailored to our healthcare services. Ensure high performance, quality, and responsiveness of applications.
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   Data Analysis: Collect, analyze, and interpret large datasets to support clinical and operational decision-making. Develop and implement data models, algorithms, and statistical analyses.
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   Collaboration: Work closely with healthcare professionals, IT teams, and other stakeholders to understand requirements and deliver effective solutions. Provide technical support and training to end-users.
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   Innovation: Stay up-to-date with the latest industry trends, technologies, and best practices. Propose and implement innovative solutions to enhance our healthcare services.
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   Compliance: Ensure all software and data analysis activities comply with healthcare regulations and standards, including HIPAA and other relevant guidelines.
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  Qualifications
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   Education: Bachelor's or Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or a related field.
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   Experience: Proven experience as a Software Engineer and Data Analyst, preferably in the healthcare industry. Strong understanding of healthcare data and regulatory requirements.
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   Technical Skills: Proficiency in programming languages such as Python, Javascript, or C#. Experience with database management systems (SQL, NoSQL) and data visualization tools (Tableau, Power BI). Familiarity with machine learning frameworks and statistical analysis software.
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   Soft Skills: Excellent problem-solving skills, attention to detail, and ability to work independently and as part of a team. Strong communication skills, both written and verbal
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