INTERNSHIP DETAILS

Data Analyst Assistant

CompanyBrevium
LocationAmerican Fork
Work ModeOn Site
PostedJuly 9, 2026
Internship Information
Core Responsibilities
Collaborate with the data science team to maintain Python and SQL programs and perform data retrieval and manipulation. Document analysis results and assist in developing machine learning models for predictive analysis.
Internship Type
full time
Salary Range
$20 - $22
Company Size
79
Visa Sponsorship
No
Language
English
Working Hours
20 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Eye-Opener: 25% or more patients are overdue for essential care at just about every physician practice. Depending on your specialty, that’s 1,000 – 2,000 patients per provider.  Brevium’s patented, data-driven patient reactivation software helps medical groups and physician practice portfolios boost quality of care, improve patient experience, and transform lost patients into found revenue.  - Physician practices rely on Brevium to:  - Analyze patient data to identify patients who need follow-up care most.  - Leverage data in disparate practice management systems with BreviumStitch - Provide clarity and insight into what works: Tap into a live, real-time dashboard to identify which outreach methods are most likely to reactivate overdue patients.  - Ensure every provider is fully booked.  - Deploy automated patient engagement and reactivation solutions (text, email, auto calls, and direct mail), which frees up practice staff bandwidth for direct patient interactions.  For every $1 practices spend on the Brevium, they see $25 or more in revenue— 25x ROI. If you are looking to boost healthy returns at your physician practice or portfolio of practices, Brevium can help you achieve your goals.  
About the Role

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

Key Skills
PythonSQLPandasPlotlySklearnData AnalysisData VisualizationMachine LearningExcelMatplotlibData CleaningStatistical Methods
Categories
Data & AnalyticsTechnologyHealthcareSoftwareScience & Research