- Collaborate with the PMO lead to identify opportunities for project management capability building, digitalization, and automation.
- Utilize data science and analytics techniques to analyze project data, identify trends, patterns, and insights, and provide actionable recommendations for process improvement and optimization.
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- Stay up to date with emerging technologies, tools, and methodologies in data science, analytics, and project management, and recommend and implement relevant solutions.
- Assist in the development and maintenance of project management frameworks, methodologies, and best practices, incorporating datadriven approaches.
- Provide training and support to team members on data analysis techniques, tools, and technologies, promoting a culture of datadriven decisionmaking.
- Collaborate with stakeholders to define project requirements, objectives, and success criteria, ensuring alignment with organizational goals and strategic initiatives.
- Contribute to the continuous improvement of project management practices, digitalization strategies, and automation initiatives.
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Engineering - Data Analyst - Phoenix, AZ, United States - Axelon Services Corporation
Description
Job Description:
Position: Data Science and Analytics Specialist, Program Management Office
Location:
Phoenix, Arizona
100% on-site
At Client, we are inspired by a single vision – transforming patients' lives through science.
In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change.
We bring a human touch to every treatment we pioneer. Join us and make a difference. Position SummaryWe are seeking a highly motivated and tech-savvy professional to join our team as a Data Science and Analytics Specialist.
As a key member of our PMO (Project Management Office), you will assist in building project management capabilities, driving digitalization and automation initiatives, and pioneering innovative solutions.
The ideal candidate for this role is a professional who is passionate about data science, analytics, and technology, with basic understanding of project management and a desire to contribute to the future of our organization.
Responsibilities:
