Data Analyst

Emprise Corporation provides condition-based monitoring, machinery diagnostic and maintenance engineering services that allow engineers to make sound and cost-effective decisions. Emprise is looking for a talented Data Analyst to join our Data Analytics team. This position will assist a small team developing Tableau Dashboards used to visualize Military Sealift Command maintenance effectiveness.

Responsibilities:

• Develop, design, and maintain interactive Tableau dashboards to support data visualization and reporting needs.
• Collaborate with stakeholders to gather requirements and ensure dashboards meet customer needs.
• Perform data analysis to identify trends, patterns, and insights to support decisionmaking processes.
• Optimize and enhance existing Tableau dashboards for performance and usability.
• Provide training and support to endusers on Tableau functionalities and best practices.
• Ensure data accuracy and integrity within Tableau dashboards.
• Troubleshoot and resolve issues related to Tableau reports and dashboards.
• Stay updated with the latest Tableau features and industry best practices.
• Occasional travel may be required.
  
  

Required Qualifications:

• Must be able to obtain and maintain a DOD Security Clearance.
• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience as a data analyst, with at least 2 years of handson experience in Tableau.
• Knowledge of SQL for data querying and manipulation.
• Strong understanding of data visualization principles and best practices.
• Excellent analytical and problemsolving skills.
• Ability to work independently and manage multiple tasks simultaneously.
• Strong business acumen and the ability to translate business requirements into technical solutions.
  
  

Desired Qualifications:

• Tableau certification (e.g., Tableau Desktop Specialist, Tableau Certified Data Analyst).
• Shipyard experience.
• SAMM experience.
• Experience in scripting languages such as Python or R for data analysis.
• Excellent timemanagement skills with ability to accurately prioritize tasks, multitask, and move multiple projects forward.
• Strong research, problem solving, and analytical skills.
• Strong verbal, written, communication, and presentation skills.
• Experience working in an Agile environment and knowledge of key Agile principles.