Brevium is hiring: Data Analyst Assistant in American Fork

Job Title

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

Location

American Fork, Utah

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 the development and implementation of machine learning models for predictive analysis using industry-leading tools.
• Assist in troubleshooting and debugging code-related issues in Python and SQL.
• Document and present analysis results using data visualization tools such as plotly and matplotlib.
• Documenting code and analysis procedures.

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.
• Strong organizational skills and ability to perform repeated tedious tasks.

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.

Working Hours

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