Assistant Data Visualization Analyst

Texas A&M University is committed to enriching the learning and working environment. The Assistant Data Visualization Analyst will assist with data analytics projects, gathering, cleaning, and studying data sets to support larger problem resolution efforts.

Responsibilities:

• Establish ML pipelines for image segmentation and image analysis on the GPU cluster at EnMed (Pettigrew lab)
• Document the pipeline implementation for ready application by the EnMed students
• Assists with data systems management and integration functions to maintain system performance
• Supports improvement efforts for existing data systems by reviewing system capabilities, workflows, and schedule limitations
• Collaborates in identifying opportunities to enhance efficiency within data processes and systems
• Assists in supporting operations and conducting data analytics projects to provide information and insights to stakeholders for decision making or solution development
• Analyzes small to moderately sized datasets using statistical techniques to identify trends and patterns
• Applies basic data mining, data modeling, and natural language processing techniques to interpret data
• Utilizes routine data mining techniques to discover patterns and relationships that support business decisions
• Assists in developing statistical models and algorithms to predict future trends, behavior, and outcomes based on historical data
• Assists in designing and analyzing tests to evaluate the effectiveness of different strategies or interventions
• Gathers data from basic sources to support analytical projects
• Constructs datasets for analysis and reporting purposes
• Cleanses, filters, and preprocesses routine data to remove inconsistencies, errors, and outliers to ensure accuracy and reliability
• Implements data standards and deploys automation tools to extract, synthesize, validate, and transform data into usable metrics
• Monitors data quality and security to maintain data integrity
• Provides routine troubleshooting and resolves database issues to ensure reliable data access and performance
• Creates data visualizations, dashboards, and metrics to communicate analytical findings
• Generates basic data reports and responds to routine information requests from stakeholders
• Transforms analytical results into clear and meaningful information to support decision making
• Stays updated on current data analysis techniques, tools, and technologies to enhance analytical effectiveness
• Continuously improves technical and analytical skills to support evolving operational needs