Data Analytics Intern

Sonova AG•Aurora, IL

1d•$22 - $26•Hybrid

About The Position

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.

Requirements

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).

Nice To Haves

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.

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.