Data & Analytics Specialist

Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: Yes Long Term Pharma Experience is a Must As a Data & Analytics Specialist, you will work closely with multi-disciplinary teams to solve complex data problems enabling PD to transform data into actionable insights. You will partner with IT and business stakeholders to co-create data and analytics enabled solutions that help our teams fulfill our mission: to do now what patients need next.

What you'll be working on:

• Generating insights from data, enabling us to optimise business performance
• Providing strategic direction and assisting IT Business Partners with prioritization and mobilization of resources to address data and analytics opportunities
• Identifying business opportunities and working with business and informatics partners to proactively architect, design, prototype and deliver data and analytics products
• Ensuring data-driven analytics solutions are integrated into the wider Pharma Informatics System Landscape
• Supporting business analysis to ensure reporting requirements represent the needs of the business users

The ideal candidate:

• Passionate about agile software processes, data-driven development, reliability, and experimentation
• Possesses education in related fields (Computer Science, Computer Engineering, Mathematical Engineering, Information Systems)
• Has experience of standard database reporting and query tools and a knowledge of writing queries with SQL
• Knowledge of Analytics Platforms (such as Spotfire and Tableau) and visualization and Visualization techniques and concepts is essential
• Knowledge of R, Python and Advanced Analytics is an advantage
• Knowledge of and experience with Pharmaceutical systems (i.e. Clinical Trial Management Systems, Drug Safety, EDC) and technical details of data management in those environments
• Has expertise in translating complex business requirements into relevant solutions

Required qualifications:

• You have a Master's degree in Computer Science, Engineering or equivalent
• 10+ years business systems analysis and analytics experience with various types of Software Development Life Cycle methodologies and technologies
• Domain knowledge of pharmaceutical industry, and clinical lifecycle specifically is a must