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*
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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.