William & Mary Libraries · 3 months ago
Data Systems Analyst
Virginia Institute of Marine Science
Full-time
Onsite
Mid Level
$80K/yr - $80K/yrWilliam & Mary Libraries, part of the Virginia Institute of Marine Science, focuses on advancing marine and coastal science through research and education. They are seeking a Data Systems Analyst to support institutional research and data-driven initiatives by managing structured datasets and collaborating with users and researchers to enhance data accessibility and system functionality.
Higher Education
No H1B
Responsibilities
Acquire, clean, transform, and provision datasets in accordance with end-user requirements and institutional data governance standards
Develop and maintain workflows and scripts to automate data ingestion, transformation, and export using tools such as Python, JSON, or SQL
Assist in designing and implementing data models and schemas to support analysis, reporting, and AI/ML development
Collaborate with researchers, data stewards, and IT staff to ensure data systems are optimized for accessibility, reproducibility, and sustainability
Support the development, training, and evaluation of machine learning and predictive models under the guidance of senior staff or project leads
Document data processes, pipelines, and system integrations for transparency, reproducibility, and operational continuity
Provide technical support for data access tools, APIs, and dashboards used by internal stakeholders
Monitor data quality, system performance, and storage utilization, escalating issues as needed to ensure operational reliability
Stay informed of institutional policies and legal standards relating to data privacy, research compliance, and cybersecurity
Participate in cross-functional teams and working groups related to data strategy, analytics, or research computing as assigned
Qualification
Required
Bachelor's degree in data science, computer science, information systems, statistics, or a related field, or equivalent combination of education and experience
Demonstrated experience working with structured data, including acquisition, cleaning, transformation, and analysis
Proficiency in one or more programming or scripting languages used for data processing (e.g., Python, R, SQL, JSON, PowerShell). Familiarity with relational databases and data modeling principles. Proficiency in standard database protocols (ETL, Schemas, Metadata)
Ability to document workflows, processes, and technical specifications clearly and effectively. Strong analytical and problem-solving skills with attention to detail
Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders
Preferred
Experience supporting or developing AI/ML models or analytics pipelines
Familiarity with version control systems (e.g., Git) and software development practices. Familiarity with Java and JavaScript
Exposure to cloud-based data platforms, APIs, or data integration tools
Experience working in a research, academic, or public sector environment
Coursework or certification in data science, machine learning, or analytics-related topics
Proficiency in Microsoft 365 ecosystem tools such as SharePoint Online, OneDrive for Business, Teams, Forms, Power Automate, and scripting with PowerShell
Familiarity with Microsoft SQL Server components (SSMS, SSRS, SSIS)
Experience managing users, groups and security settings in M365 environments
Company
William & Mary Libraries
William & Mary Libraries support and enhance teaching and research, and foster intellectual curiosity, creativity and lifelong learning.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase