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