Data Analyst - University of Louisiana Lafayette : Job Details

Position Title: Data Analyst Department: 9030|IRI-Tech Transfer Responsibilities: The Data Analyst isresponsible for collecting, cleaning, analyzing, and visualizing data tosupport business decisions. The Data Analyst will work closely withstakeholders from all levels of the organization to understand their needs anddevelop solutions that meet those needs. The Data Analystwill report to the Chief Technology Officer of the Informatics ResearchInstitute. Duties and Responsibilities:

• Collect and clean data from various sources, such as databases, APIs, and spreadsheets.
• Analyze data using statistical and machine learning techniques to identify trends, patterns, and insights.
• Create data visualizations and reports that are easy to understand and present them to stakeholders.
• Develop and implement data-driven solutions to address business problems and opportunities.
• Collaborate with stakeholders to understand their needs and requirements and design data solutions that meet those needs.
• Stay up-to-date with the latest data science trends, tools, and techniques.
• Conduct research to identify new data sources and methodologies that can be used to improve data collection and analysis processes.
• Provide training and support to other team members on data analysis and visualization tools and techniques.

Qualifications:Required Qualifications:

• Bachelor's degree in computer science or decision science or a closely related field.
• Five years of work experience in developing data scientific systems in real world settings may be substituted for the bachelor's degree.

Preferred Qualifications:

• Demonstrated experience in data analysis.
• Master's degree in computer science or decision science or a closely related field.
• Advanced experience in a specialized area such as Big Data technologies (e.g., Hadoop, Spark), cloud computing platforms (e.g., GCP, Azure).
• Knowledge of machine learning, natural language processing, statistical, or data mining techniques.
• Proficiency in Python or SQL.

Job Ad# (req4264)