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Data & Analytics Specialist

Keylent Inc

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

Vacancy posted 5 days ago
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