System Analysis Associate III – HR Data Mgmt

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

👩‍👩‍👧‍👦 Human Resources (HR)

👻 Ghost score 10%

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

10,000+ employees

Founded 1956

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• Deliver end-user support for HR Systems through a structured ticketing system, resolving technical inquiries efficiently • Complete audits to ensure data integrity within HR Systems, conducting detailed analysis and implementing resolutions • Assist in data conversion activities, including mass data loads, to maintain data accuracy • Collaborate with multi-functional teams to ensure efficient support and successful project outcomes • Research system issues and propose and implement process improvements to improve operational efficiency • Review and update work instructions to reflect system changes and standard processes

🎯 Requirements

• At least 2 years of relevant experience in system troubleshooting, technical support, or similar roles • Bachelor’s degree is required • Degree in Computer Science, Information Technology, Health Informatics, or a related field is preferred • Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) • Previous experience with HR Systems troubleshooting and support is preferred • Experience with data conversion and mass data loads is a plus

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