Data Analyst Intern

Company Overview

Our Mission: At Esperion, we are working tirelessly to deliver innovative medicines that help patients reach their goals today, tomorrow, and into the future.  

Esperion is a fully remote based company with a corporate headquarters located in Ann Arbor, MI.  The Company offers a competitive salary including a performance-based bonus program and stock-based compensation, a comprehensive benefits package including a 401(k) matching plan and health insurance, and paid time off and holidays.

Position Title: Intern – Data Analyst

The Supply Operations (Supply Ops) department oversees the end-to-end global supply of product including management of inventory and production execution data.   The Intern – Data Analyst will assist the Supply Ops department with day-to-day tasks around data management including assisting to automate some of the tasks. Position is full-time, up to 40 hours per week.

Preferred Location: Remote – US 

Essential Duties and Responsibilities*

• The Intern, Data Analyst will be involved in many of the day-to-day technical operations tasks, including the following:
  • Data transcription from various sources into combined internal data tracking
  • Quality control data entry 
  • Assist with automation of data transcription 
  • Analyze inventory and sales projections to assist in production planning
• Work collaboratively with cross-functional teams to ensure that data is verified or entered effectively and efficiently.
• Provide consistent updates on throughput and status to monitor project progress.
• Support development and deployment of data processing automation including development of code and work instructions
• Translate data analysis and business logic into documentation that can be understood by broad audiences

*additional duties and responsibilities as assigned

Qualifications (Education & Experience)

• Must have or be actively enrolled and pursuing a degree with a data science or supply chain/operations focus. 
• Knowledge and proficiency with Microsoft Excel is required.
• Attention to detail is required.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team using work instructions.
• Experience with life sciences data and/or manufacturing systems is a plus.