Data Analyst Assistant at Brevium in American Fork, UT

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). Compensation $20-22/hr