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
$120k - $140k
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