Senior Data Analyst (supporting NASA)

Background: The Fatigue Countermeasures Laboratory at NASA Ames Research Center studies the relationship between sleep loss, circadian desynchrony, cognitive function, and alertness. Performance detriments have been shown to occur in response to circadian desynchrony (being out of sync with one's internal clock), acute sleep loss (insufficient sleep over a short period of time), chronic sleep loss (insufficient sleep over a long period of time), and sleep inertia (grogginess following sleep).  This lab requires the expertise of a data analyst. 

Job Description:  Develops, inspects, mines, transforms, and models data to improve decision making. Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification. Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business.

Qualifications:

• Proficiency in statistical analysis, data mining, and predictive modeling techniques.
• Hands-on experience with analytical tools and programming languages (e.g., Python, R, SQL, Tableau, Power BI).
• Strong understanding of data structures, data visualization, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to present findings to non-technical audiences.
• Experience working with large datasets and modern database management systems.
• BS Degree plus 5-7 years experience