Full Job Description Job Title:

Data Analyst Assistant (Part-time, 20 hours/week) -

Programming Focus Location:

American Fork, Utah (In Office)

About Us:

Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.

Responsibilities:

Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn. Execute SQL queries for database retrieval, data manipulation, and integration tasks. Assist in troubleshooting and debugging code-related issues in Python and SQL. Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel. Documenting code and analysis procedures. Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools. Able to communicate with Sales team to know what data insights are needed.

Qualifications:

Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field. Proven experience in data analysis, with a strong focus on extracting actionable insights. Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn. Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks. Familiarity with data cleaning, preprocessing, and statistical methods. Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL. Excellent communication skills. Proficient in Excel.

Preferred Skills:

Intermediate to advanced python and SQL server skills. Experience with data visualization tools like plotly and matplotlib. Previous exposure to working with databases and data manipulation tasks. Familiarity with statistical analysis tools and techniques. Strong organizational skills and ability to be self motivated.

Working Hours:

20 hours per week (flexible schedule to accommodate academic commitments). 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