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Data Analyst

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $90,000 - $110,000

About Stryker:

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopedics and Spine that help improve patient and healthcare outcomes.

The Role:

At the intersection of data and innovation, we're seeking a skilled Data Specialist to drive growth and patient safety through secure access, high-quality control and actionable insights.

Whether you're a recent graduate or early in your career, we welcome your passion for data, curiosity and initiative. You'll grow into a subject-matter expert on the datasets you handle, contribute to analytics projects and develop research skills that deliver real value to patients and stakeholders.

Key Responsibilities

  • Clinical Data Management: Manage global study datasets securely, maintain high-quality data, and coordinate corrections effectively.

  • Study & Operational Support: Provide operational support during study setup, monitoring, close-out and database maintenance.

  • Documentation & Scientific Contributions: Assist in research proposals, contracts, literature reviews and scientific outputs.

  • Training & Process Improvement: Train users, contribute to SOPs and eQMS documentation, and improve data workflow processes.

What We Look For

  • A strong interest in data management, data privacy and research operations is essential.

  • The ability to convert complex data into actionable insights is crucial.

  • Excellent collaboration, documentation and organizational skills are required.

  • A curious problem-solving mindset with a passion for continuous improvement is key.

Required Skills and Qualifications:

  • Tertiary qualifications in engineering, bioengineering or a related field with a focus on data management are preferred.

  • Strong verbal and written communication skills along with proven teamwork ability are necessary.

  • High attention to detail, accountability and integrity when handling large datasets are critical.

  • Familiarity with programming languages such as Python, C++ or MATLAB is an advantage.

Preferred Skills:

  • Experience in clinical research or an engineering internship can be beneficial.