Data Analyst Assistant

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