Engineering - Data Analyst

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 Summary
We 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:
• 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.
• Develop and implement innovative solutions using technology, coding, and power applications to automate project management processes, streamline workflows, and enhance efficiency.
• 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 data-driven approaches.
• Provide training and support to team members on data analysis techniques, tools, and technologies, promoting a culture of data-driven decision-making.
• 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.

Skills & Qualifications:
• Bachelor's degree in a relevant field such as Computer Science, Data Science, Analytics, Project Management, or a related discipline.
• Strong passion for data science, analytics, and technology, with a desire to contribute to the future of project management.
• Proven experience in project management, preferably in a technology-driven environment.
• Proficiency in coding languages such as Python, R, or SQL, with experience in developing tools and automating workflows.
• Knowledge of power applications such as Microsoft Excel, Power BI, or Tableau for data analysis and visualization.
• Familiarity with project management methodologies, frameworks, and best practices.
• Excellent problem-solving and analytical skills, with the ability to translate complex data into actionable insights.
• Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• Proactive and self-driven mindset, with the ability to take initiative and drive projects forward.
• Experience with data analysis, statistical modeling, and machine learning techniques is a plus.
• Knowledge of project management software and tools is desirable.
Education & Experience:
• Bachelor's degree in a relevant field is preferred.
• Minimum of 1-3 years of experience in project management, data analysis, or a related field.
• Experience in utilizing data science and analytics techniques to drive insights and process improvements.
• Proven track record of successfully implementing digitalization and automation initiatives.
• Experience with project management methodologies and frameworks.
Additional Job Requirements:
None