Data Analyst

Pison is seeking a highly motivated Data Analytics Specialist to join our innovative team. This role involves collecting, processing, and analyzing large data sets generated by our cutting-edge electroneurography (ENG) platform. The specialist will develop data models, create visualizations, and collaborate with cross-functional teams to drive data-driven strategies. Ideal candidates will have strong analytical skills, proficiency in statistics, and experience in data analysis. This is a unique opportunity to contribute to pioneering neural interface technology, working with high-profile projects and industry-leading partners.

Duties/Responsibilities:

• Collect, process, and analyze large data sets generated from our ENG platform and related sources.
• Perform exploratory data analysis to discover patterns, trends, and relationships in the data.
• Develop and implement data models, and statistical analyses to extract meaningful insights.
• Apply statistics to test hypotheses, and test significance.
• Create and maintain internal and external-facing dashboards, reports, visualizations and text to tell stories and explain findings to stakeholders. To an audience with a wide range of technical expertise.
• Support the creation of posters, white papers, and project proposals.
• Collaborate with cross-functional teams to identify business opportunities and develop data-driven strategies.
• Ensure data integrity, accuracy, and security in all analytical processes.
• Stay updated on data analytics, AI, and neurotechnology.

Skills/Abilities:

• Proficiency in statistical software and data analysis tools (e.g., Python, R, SQL, Looker, etc.).
• Understanding of data modeling techniques.
• Experience with data visualization tools and techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex data findings in a clear and concise manner.
• Familiarity with neurotechnology and IoT applications is a plus.
• Good scientific method

Education/Experience:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a medical/scientific related field.
• Experience in data analytics, data science, or a related role.
• Experience with data visualization tools and techniques.
• Familiarity with neurotechnology and IoT applications is a plus.