Key skills
Data WarehousingAnalyticsData MiningStatistical Analysis
About this role
- Supports faculty, business and research customers with data science services on a variety of projects which may include population health, education research, workforce analytics, program evaluation, applied statistics, personalized medicine and translational research.
- Builds models that incorporate diverse data sets representing administrative, clinical and social health indicators when applicable.
- Apply a variety of methods such as statistical analysis, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
- Perform as a results-oriented problem solver to quickly synthesize complex scenarios, connect abstract patterns/information, apply appropriate methods, and implement practical and timely solutions.
- Demonstrate and embrace a collaborative approach to fully realize the talents of colleagues such as data stewards, IT staff, business analysts, business stakeholders and industry experts.
- Assess the impact of computer networking and data warehousing on data use and analysis when applicable.
- Designs and produces high-quality data visualizations, dashboards, graphical reports, and other visual products that communicate complex findings clearly and effectively to both technical and non-technical audiences including state agency partners and policymakers.