Data Modeler Intern

Modern Technology Solutions Inc • Huntsville, AL

13h • Remote

About The Position

We are currently looking for a Data Modeler Intern to join our team in Huntsville, AL (remote). Responsibilities: As a Data Modeler Intern, you will play a key role in supporting the development and optimization of conceptual, logical, and physical data models within our organization. This internship provides the opportunity to work on all stages of data modeling, ensuring the structure, flow, and integrity of data align with business objectives. You will work with both structured and unstructured data, leveraging your skills to analyze, model, and organize datasets. Additionally, you will utilize GitLab for version control and collaboration, ensuring that all data modeling processes are well-documented and efficient. This position offers hands-on experience in developing data models that reflect business requirements and foster effective decision-making. You will collaborate with the Digital Data Services and cross-functional teams to align business needs with technical solutions. By contributing to the design and implementation of data modeling strategies, you will gain insights into the critical role played by conceptual, logical, and physical models in driving business performance and decision-making accuracy. Core Responsibilities: Conceptual Data Modeling: Work with stakeholders to define high-level data models that represent organizational business requirements and offer a strategic view of data structures without delving into detailed implementation. Logical Data Modeling: Design logical models that transform business processes and objectives into detailed data relationships and schemas, ensuring completeness and correctness. Physical Data Modeling: Assist in translating logical models into physical models, reflecting actual technical environments (e.g., databases, storage systems) to ensure accessibility, accuracy, and performance. Test, refine, and validate data models to verify their integrity, scalability, and compliance with established standards. Collaborate with teams across the organization to create models that meet analytical and operational objectives. Document data modeling workflows, including best practices, assumptions, and processes for future use. Prepare reports on data modeling metrics, findings, and recommendations for optimization. Qualifications: Currently pursuing a degree in Data Science, Computer Science, Information Technology, Business, or a related field. Proficiency in R and Python for performing analysis, transforming datasets, and enabling data modeling. Experience using GitLab for version control and collaborative coding. Strong analytical thinking and problem-solving skills, with attention to detail. Ability to manage multiple projects simultaneously while adhering to deadlines. Desired Skills: Ability to analyze textual data to enhance data model development. Familiarity with data visualization tools (e.g., Power BI, Tableau,) to present findings from conceptual, logical, and physical models. Familiarity with Data Modeling tools (e.g., Cameo Magic Draw, Erwin, EASparx) Knowledge of Microsoft SharePoint for documentation management. Proficiency in technical writing for creating clear and concise documentation about the structure and implementation of conceptual, logical, and physical models. This is an exciting opportunity for you to develop essential skills in data modeling with exposure to its full lifecycle from conceptual ideation to technical implementation within physical systems. By working closely with leaders, including the Chief Data Officer, this internship offers invaluable professional experience for aspiring data scientists and modelers to understand the intersection of business strategy and technical execution. Clearance: Ability to obtain/maintain a US government security clearance. Please note: US Citizenship is needed for most positions.

Requirements

• Currently pursuing a degree in Data Science, Computer Science, Information Technology, Business, or a related field.
• Proficiency in R and Python for performing analysis, transforming datasets, and enabling data modeling.
• Experience using GitLab for version control and collaborative coding.
• Strong analytical thinking and problem-solving skills, with attention to detail.
• Ability to manage multiple projects simultaneously while adhering to deadlines.
• Ability to obtain/maintain a US government security clearance.
• US Citizenship is needed for most positions.

Nice To Haves

• Ability to analyze textual data to enhance data model development.
• Familiarity with data visualization tools (e.g., Power BI, Tableau,) to present findings from conceptual, logical, and physical models.
• Familiarity with Data Modeling tools (e.g., Cameo Magic Draw, Erwin, EASparx)
• Knowledge of Microsoft SharePoint for documentation management.
• Proficiency in technical writing for creating clear and concise documentation about the structure and implementation of conceptual, logical, and physical models.

Responsibilities

• Conceptual Data Modeling: Work with stakeholders to define high-level data models that represent organizational business requirements and offer a strategic view of data structures without delving into detailed implementation.
• Logical Data Modeling: Design logical models that transform business processes and objectives into detailed data relationships and schemas, ensuring completeness and correctness.
• Physical Data Modeling: Assist in translating logical models into physical models, reflecting actual technical environments (e.g., databases, storage systems) to ensure accessibility, accuracy, and performance.
• Test, refine, and validate data models to verify their integrity, scalability, and compliance with established standards.
• Collaborate with teams across the organization to create models that meet analytical and operational objectives.
• Document data modeling workflows, including best practices, assumptions, and processes for future use.
• Prepare reports on data modeling metrics, findings, and recommendations for optimization.

What This Job Offers

• Career Level: Intern