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Data Analyst, Associate

Cambridge, MA
Top 3 Must Have Skill Sets:    

Relevant Undergraduate degree or relevant work experience/internship would be fine.

Project, internship, or work experience in data analytics or in a relevant operations function (e.g., process development, manufacturing, supply chain)

Relevant Undergraduate degree or relevant work experience/internship would be fine.
Applicant need to be able to work during PST hours.

The ideal candidate enjoys tackling challenges and excels at organizing information from numerous sources to provide well-constructed deliverables.

This may include, but is not limited to, the following:
• Working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.
• Developing, enhancing, automating, and managing analytics models
• Creating striking visualizations to aid in data interpretation and usage
• Demonstrating modeling and visualization approaches as part of proof-of-concept projects

Preferred Skills:
• Experience with data visualization tools or packages, such as Spotfire or Tableau
• Experience with advanced statistical/analytical techniques
• Proficiency in at least one statistical software package (e.g., JMP)
• Knowledge of at least one programming/scripting language such as Python, Java, C++, MATLAB, or R or with SQL
• Understanding business needs and developing novel yet practical solutions to meet those needs
• Experience in biotech and with data sources used in operations

Preferred Traits:
• Passion for proactively identifying opportunities through creative data analysis and modeling
• Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
• Ability to manage multiple, competing priorities simultaneously
• Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment.

"This posting is for Contingent Worker, not an FTE"

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