Data Enginner/Project Leader
Tokyo, Japan
IQVIA
Solutions to help life sciences organizations drive healthcare forward and get the right treatments to patients, faster.Job Overview
Formulates and defines systems scope and objectives through research and fact-finding combined with an understanding of applicable business systems and requirements. Manages sprint backlog, including planning, prioritization, grooming and readiness.
Works collaboratively with users, designers and engineers to solution features and slice work into vertical stories.
Essential Functions
• Formulates and defines systems scope and objectives through research and fact-finding combined with an understanding of applicable business systems and requirements.
• Manages sprint backlog, including planning, prioritization, grooming and readiness.
• Works collaboratively with users, designers and engineers to understand requirements, solution features, and slice work into vertical stories.
• Ensures stories collectively result in useable software that meets the needs of the users.
• Performs portions of reports and data analysis based on understanding of the function’s business context, requiring general domain knowledge and developing business experience.
• Evaluates and prioritize scope trade-offs as new work emerges.
• Reviews development work for quality and completeness.
• Facilitates effective defect management.
• Communicates status and manages stakeholder expectations when required.
• Contributes to product discovery work.
Qualifications
• Bachelor's Degree Computer Science, a related field, or equivalent experience
Req
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Research
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