Data Analyst / Engineer

As a Data Analyst/Engineer, you will concentrate on providing data solutions for the Supply Chain Organization. You will develop and deliver solutions to automate business processes and offer data-driven insights with visual tools (reports & dashboards). Your tasks will include creating and implementing methods to make data accessible and practical for meeting business goals. This will require applying data engineering, data science, and analysis techniques.  Additionally, you will program and maintain scheduling models within the RTMS environment for multiple production lines and products.

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following:

• Responsible for engineering support of finite scheduling software; including system uptime, model builds, and KPI reporting
• Create and Maintain production schedule models in RTMS (Real-Time Modeling System, an Emerson Product, formerly licensed by Bio-G)
• Integrate RTMS with Manufacturing Systems (DeltaV DCS and Syncade MES) and ERP System (SAP)
• Work together with internal clients to pinpoint and create data solutions that add value and insight; assist stakeholders with the creation and roll-out of reports and visuals using Microsoft Power Platform tools.
• Automate Business Processes by leveraging Microsoft applications and tools.
• Support data projects using analysis methods including classical statistics and machine learning models.
• Implement full project lifecycle: Identify opportunity, design, implement and document solution, and provide on-going support.
• Provide documentation to ensure GxP compliance of computer systems and interfaces.
• Supports break/fix root cause analysis of issues identified with computer systems and solutions.
• Work in a way that models respect for safety and EHS, quality compliance, data integrity, and engineering standards.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• BS in Computer Science, Data Science or Information Systems 
• 2+ years data analyst experience
• Programming experience
• Technical project management experience

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• GXP
• Manufacturing experience in Life Science
• Exposure and interest in computer systems and databases
• Visual Basic Application (VBA) Programming (or similar programming experience)
• Experience with Structed Query Language (SQL)
• Experience with RTMS (Real-Time Manufacturing Scheduling)

#LI-GSK

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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