3 senior reporting analyst jobs found

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website https://www.us.sumitomo-pharma.com or follow us on LinkedIn. The Business Applications team is part of IT and is responsible for supporting, developing, managing and enhancing the capability of enterprise applications which make up the platform that delivers SMPA's business processes. The Senior Manager, Enterprise Apps, Workday Architect is responsible for partnering with HR to architect the company's HR applications including Workday and other integrated HR platforms...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...