【ジョンソン・エンド・ジョンソン株式会社】Manager - Business Product Owner - Digital & Analytics (Customer Experience)
仕事内容
Key Responsibilities
o KPI Development & Monitoring:
o Define, track, and report on critical KPIs related to supply chain efficiency and effectiveness.
o Collaborate with cross-functional teams to ensure alignment on performance metrics.
o Develop insights to support root-cause-analysis and action planning.
o Foster a data-driven culture in operations.
o Data Analysis & Modeling:
o Develop and implement predictive models to optimize customer services.
o Conduct simulations to assess cost and capacity.
o Review customer order patterns for service optimization.
o Analyze historical data to identify trends and patterns that inform strategic decision-making.
o Customer Journey / Customer Experience:
o Deploy advanced analytics to analyze customer journey.
o Deploy Customer Journey Orchestration to improve customer experience.
応募資格(必須経験など)
資格
o Education:
o Master’s or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field.
o Experience:
o Minimum of 8 years of experience in data science or analytics roles, preferably within the pharmaceutical or logistics sectors.
o Proven track record of developing models that drive operational improvements.
o Technical Skills:
o Proficiency in programming languages such as Python or R for data analysis and modeling.
o Strong experience with SQL for data manipulation and extraction.
o Familiarity with statistical analysis tools and methodologies (e.g., regression analysis, A/B testing).
o Soft Skills:
o Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
o Strong problem-solving skills and the ability to work independently as well as collaboratively across teams.
Preferred Qualifications:
o Experience with supply chain optimization tools and techniques, specifically in the area of customer analytics.
o Knowledge of pharmaceutical regulations related to distribution and transportation.
o Familiarity with machine learning algorithms and their application in logistics.