Key Facts

Remote From:

Michigan (USA)

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Communication
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Analytical Thinking
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Detail Oriented
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Problem Solving

Esperion Therapeutics

Pharmaceuticals

About Esperion Therapeutics

Official LinkedIn page for Esperion. Esperion is The Lipid Management Company. Our goal is lipid management for everybody, that’s why we work hard to make our medicines accessible. We discover, develop and commercialize innovative medicines and combinations to lower cholesterol, especially for patients whose needs aren’t being met by the status quo. Our entrepreneurial team of industry leaders is inclusive, passionate and resourceful. For more information, please visit esperion.com and follow us on Twitter at www.twitter.com/EsperionInc. Community guidelines: https://bit.ly/3vLCGdO

Company type: SME

Industry: Pharmaceuticals

Founded: 2018

Company size: 201 - 500

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Job description

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: Data Analyst

The Digital Strategy and Business Process Optimization (DS & BPO) department oversees the operational system data within our ERP and surrounding systems and helps support the ongoing management and improvements within the ERP environment. The Data Analyst will assist the DS & BPO department with day-to-day tasks around system implementation and maintenance, data management, data analytics, and ongoing upgrade support as well as any future implementation and integration activities. Position is full-time, up to 40 hours per week.

Preferred Location: Remote – US

Essential Duties and Responsibilities*

Develop and maintain key data and data design in SAP (Material Master, Bill of Materials, Recipes, Resource, Purchasing-Info Records and Warehousing) and associated systems
Manage and update key data as required within the systems include managing user access following applicable SOPs
Develop and implement data quality controls, reporting, and audits to uphold data accuracy, completeness, and consistency.
Perform testing on data and access on at least a quarterly basis as required by the business.
Support creation and migration activities by extracting, cleansing, loading, and validating master data across systems.
Create and maintain Standard Operating Procedures (SOPs) and training materials
Ensure global data consistency and conformance to SOPs while managing master data updates due to process or system changes.
Serve as a key member of the SAP Implementation Project Team during the greenfield site construction/startup phase.
Contribute to global initiatives for Master Data Management, as required, and attend select Power User forums to share best practices with peers
Generate data analysis including metrics and Pareto analyses as requested by the business
Drive process improvement initiatives which could include developing process flows for setup of new materials, updating SOPs to improve efficiency, and leveraging appropriate tools/reports to track maintenance efforts, data accuracy, and data completeness
Troubleshoot SAP, system integrations, and surrounding systems issues, identify root causes, and implement solutions
Investigate deviations and provide impact assessments for change management
Maintain a safe workplace through proper ergonomic practices
Provide input and support on future phases of the digital strategy and implementation of new technologies
Maintain a state of compliance (learning plan, SOP adherence, etc.)

*additional duties and responsibilities as assigned

Qualifications (Education & Experience)

BS Data Science, Computer Science, or related field with 1 – 3 years of relevant experience; or equivalent education and experience.
Advanced proficiency with Excel (macros, advanced functions) and BI tools; programming experience in VBA or Python is an asset.
Experience with SAP preferred.
Strong analytical skills, exceptional attention to detail, and a commitment to maintaining clean, reliable data.
Excellent communication and stakeholder management skills, with the ability to promote and influence data governance best practice.
A proactive, continuous-improvement mindset with a focus on operational excellence and scalable data and analytics processes.
Experience with life sciences data and/or manufacturing systems is a plus.