Computer Systems Analyst (Data Modeler) (Remote) - Security Clearance Required

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Overview

The Computer Systems Analyst (Data Modeler) will play a critical role in analyzing and improving the organization’s data systems and architecture. The successful candidate will be responsible for designing and implementing data models that adhere to security protocols and support various business functions. This remote position requires a security clearance due to the nature of the data handled and will focus on enhancing data integrity, optimizing database performance, and providing actionable insights through data analysis.

Job Responsibilities

• Design and develop logical and physical data models to support business processes.
• Perform data analysis and profiling to identify trends and insights.
• Collaborate with stakeholders to gather and understand data requirements.
• Ensure data models adhere to security policies and best practices.
• Optimize existing data models for performance and scalability.
• Document data models, processes, and changes in accordance with company standards.
• Assist in the development of data governance policies and procedures.
• Coordinate with IT teams to ensure smooth implementation of data systems.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in data modeling and systems analysis.
• Demonstrated experience with data modeling tools such as ERwin or Lucidchart.
• Proficiency in SQL and database management systems (e.g., Oracle, SQL Server).
• Strong analytical skills and ability to translate business requirements into technical specifications.
• Experience with data warehousing concepts and ETL processes.
• Current security clearance is required for this position.
• Excellent communication skills, both written and verbal.

Technologies & Tools

The Computer Systems Analyst (Data Modeler) will utilize various technologies and tools to effectively carry out their responsibilities. Key tools may include data modeling software such as ERwin and Lucidchart, database management systems such as Oracle, Microsoft SQL Server, and MySQL. Proficiency in data query languages like SQL will be essential, alongside familiarity with programming languages like Python or R for data analysis tasks.

Ideal Candidates

Ideal candidates for the Computer Systems Analyst (Data Modeler) position will possess a strong analytical mindset coupled with a detail-oriented approach to data management. They should be adept at problem-solving and have a proactive attitude toward identifying opportunities for improvement within data systems. Excellent communication and collaboration skills are essential, as the role requires regular interaction with cross-functional teams. A continuous learning mindset and adaptability to new technologies will greatly enhance the effectiveness of the individual in this role.