Title: Data Analyst
Client: large biotech company
Location: Remote (EST hours)
Duration: 7 months + extensions
Position Overview
We are seeking a highly motivated individual with a passion for modeling, analytics, and technology. The ideal candidate will have the opportunity to apply their expertise to enhance how data is used to inform business decisions.
Key Responsibilities
- Create compelling data visualizations to support data interpretation, analysis, and decision-making.
- Prototype, build, and customize analytical applications, often leveraging data scientist model outputs to enable in-depth analysis.
- Collaborate closely with business stakeholders to continuously refine analyses and dashboard designs, ensuring all necessary features and data are incorporated.
- Partner with Information Systems (IS) teams and Data Engineers to ensure that models supporting dashboards are robust, functional, and aligned with business needs.
- Explore and evaluate new techniques to improve data processing capabilities.
Required Technical Skills:
- Proficiency in Python and SQL.
- Experience with data visualization tools such as PowerBI, Tabluea, Matplotlib, Spotfire.
- Some experience creating models such as in-silico models, finite element models, physics based models, monte carlo simulations
Preferred Technical Skills
- Experience processing, filtering, cleaning, and standardizing large datasets.
- Ability to restructure, pivot, and transform data based on evolving needs.
- Experience with Python data libraries, including NumPy and Pandas.
- Working knowledge of Microsoft Excel.
Preferred Qualifications & Traits
- Passion for exploring, analyzing, and organizing large datasets.
- Intellectual curiosity and a willingness to learn new concepts, scripts, and methodologies.
- Ability to manage multiple competing priorities simultaneously.
- Strong organizational and time management skills, with the ability to deliver work on schedule.
- Ability to work effectively in highly collaborative, cross-functional environments.
- Experience in the biotechnology industry is not required.
Basic Qualifications
- Bachelor's degree.
- Minimum of 2 years of experience in Engineering, Operations, or a Scientific field.