Data Analytics Intern

Job Title: Summer Data Analytics Intern – Pricing & Clinic Productivity

Location: Hybrid (on-site in Aurora, IL

Duration: 10–12 weeks (summer term) Hours: 40 hours per week Compensation: Paid internship ($22 – 26 per hour)

Role Summary: We’re seeking a motivated Data Analytics intern who is enrolled in a data analytics, statistics, mathematics, economics, computer science, or related program. You will work on pricing and clinic productivity questions, with a strong emphasis on analyzing prior periods and building forecasting models to improve future performance. You’ll partner with Finance, Operations, Marketing, and Clinic Managers to translate data into actionable recommendations.

Key Responsibilities:

• Analyze historical (prior period) data to identify pricing, revenue, and productivity patterns across hearing aid clinics.
• Build and maintain forecasting models for pricing impact, demand, capacity, appointment utilization, and dispenser/clinical productivity.
• Conduct scenario and sensitivity analyses to assess potential pricing changes, scheduling adjustments, or capacity changes.
• Develop dashboards and regular reports to communicate insights to clinic leaders and stakeholders.
• Identify opportunities to improve revenue realization, reduce bottlenecks in patient flow, and increase clinic throughput without compromising care.
• Clean, merge, and validate data from multiple sources (billing, scheduling, inventory, EHR/clinic systems) while ensuring data privacy and governance.
• Translate complex analyses into clear, actionable recommendations and present findings to non-technical audiences.
• Support ad-hoc analytics requests and assist in preparing documentation of methods and model assumptions.
  
  
  

Required Qualifications:

• Currently pursuing a bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency in Excel; experience with SQL is required.
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Interest in pricing, healthcare analytics, and improving clinic productivity.
• U.S. work authorization or eligible to work in the U.S. (on-site or remote, as applicable).
  
  
  

Preferred Qualifications:

• Coursework or experience in forecasting, econometrics, optimization, or revenue management.
• Exposure to pricing analytics or revenue optimization projects.
• Knowledge of HIPAA privacy standards and data governance best practices.
• Prior internship or project work in a healthcare, retail, or service operations context.
• Programming experience in Python or R (data processing, basic modeling, and visualization).
• Familiarity with time-series forecasting methods (e.g., ARIMA, exponential smoothing, Prophet) and basic predictive modeling.
  
  
  

What You’ll Learn and Deliver:

• A portfolio of analyses focused on past periods and forward-looking forecasts for pricing and clinic productivity.
• Forecast models with documented assumptions, limitations, and scenario analyses.
• Interactive dashboards and regular management reports that inform pricing and scheduling decisions.
• Clear data documentation, data quality checks, and reproducible analysis workflows.
  
  
  

Who This Is For:

• A self-starter who enjoys solving problems with data and communicating insights.
• A collaborative team player who can work with clinicians, operations, and finance colleagues.
• A student who is passionate about applying analytics to real-world health service delivery and pricing challenges.
  
  
  

Sonova is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.