Job Description

• Build, maintain and utilize a variety of databases to discover technical and marketing insights for the development of new solutions and improvement of existing products. * Design and manage the integration of a multitude of databases to const Build, maintain and utilize a variety of databases to discover technical and marketing insights for the development of new solutions and improvement of existing products. Design and manage the integration of a multitude of databases to construct a relational database environment that will enable enhanced reporting and analysis within R&D Department. Deploy tools to continuously support data collection, cross-channel data integration, data visualization, dashboards, predictive analytics, and data mining so that actionable trends, opportunities, and hypothesis can be determined to expedite R&D projects. Contribute to product development roadmap and project planning process, partnering with stakeholders to evolve R&D infrastructure and data architecture to accommodate growing business needs, data volume and complexity. Support and automate the ongoing analysis within department and key performance metrics through deep understanding of the organization needs and thus derive highly relevant prediction and analytics as the result of meaningful use of the data. Perform ad hoc analysis as assigned and identify new opportunities for value-add analytics as needed. Job Requirements: Bachelor's Degree in computer science, software or computer engineering, statistics, or a related field. At least 1 years of experience with data analytics. Familiar with developing queries, analyzing data and developing reports, dashboards and data insights. Fluency in SQL and at least one other programming language. Experience in using reporting tools and querying languages such as: SQL, SAS, Crystal Reports, or similar. Experience in utilizing programming languages such as: Python, R, C/C++, JAVA, SCALA or other similar languages. Experience with data visualization/modeling related tools such as: Power BI, Tableau, Raw, QlikView, Spotfire, etc Good to have experience in the medical device, pharma, biotech, or healthcare related industries/ Experience working in a regulated environment. Experience with clinical trial data is preferred. Experience working with healthcare data (Electronic Health Records, etc.) is an added advantage.