Responsibilities include but are not limited to: Initially performs under supervision and mentorship of senior professionals, but self -motivated to develop quickly to perform with limited supervision. Identifies sources of credible data and maintains data catalogs to provide key data sources to internal and external stakeholders. Performs statistical analysis on experimental or business data to identify, validate and quantify trends or patterns based on guidance from business or research leaders. Cleanses, structures and transforms data to test hypothesis, model complex systems and identify patterns. Prepares and analyzes program/model output to allow for efficient data analysis. Conducts in-depth data analyses using traditional and statistical methods. Implements algorithms and software to perform analyses. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Transforms complex data into creative graphs, tables, charts and other graphics in order to present and/or share the data in a comprehensive and concise manner. Imports and exports data between external RDBMS and the Hadoop Cloudera cluster. Writes query to filter data or join multiple data sets. Writes supporting methodology, analysis and data visualizations to communicate complex ideas to business stakeholders.