Senior Data AnalystAssociation For Institutional Research • Charleston, South Carolina, United States
Senior Data Analyst
Association For Institutional Research
- Charleston, South Carolina, United States
- Charleston, South Carolina, United States
À propos
Background Check Offers of employment are contingent upon a successful background check.
Role Overview The Senior Data Analyst supports the College’s data stewards by ensuring the accuracy, governance, and accessibility of institutional data within both legacy on prem and modern, cloud-based data ecosystem. This role plays a key part in the College’s enterprise data lake initiative, leveraging platforms such as Snowflake, Azure, and Microsoft Purview to enable trusted, scalable, and secure data use across departments. The Senior Data Analyst partners with stakeholders to deliver data-driven insights, develop automated data pipelines, and promote consistent definitions and governance practices. This role contributes to advancing a culture of data-informed decision-making and supports the College’s transition to a unified “single source of truth.”
Responsibilities
Collaborate with IT, Institutional Research, and campus stakeholders to design and build
automated data pipelines
supporting the enterprise data lake architecture
Develop and maintain ETL/ELT processes to ingest, transform, and integrate data from multiple systems into the data lake
Support implementation and ongoing optimization of the College’s
cloud-based data warehouse and data lake environment
Manage the lifecycle of institutional data to ensure integrity, accuracy, consistency, and availability across the platform
Support and maintain Ellucian BannerODS integrations and related data flows
Implement and enforce
data governance practices , including metadata management, data quality standards, and data lineage tracking
Partner with stakeholders to ensure secure and compliant use of data, including adherence to FERPA and institutional policies
Evaluate and integrate emerging technologies, including AI tools, ensuring proper governance, security controls, and cost awareness
Establish and maintain data tracking, validation, and quality assurance processes to ensure reliability of analytical outputs
Data Integration & ETL/ELT
Collaborate with IT colleagues and other university stakeholders to ensure seamless data integration from various sources into the College’s enterprise data lake platform for analysis and reporting
In collaboration with institutional data owners, develop and manage 3rd party (non-ERP) ETL/ELT processes to extract, transform, and load data from multiple sources to support report and dashboard creation. This includes ensuring the identification and inclusion of necessary cost plans, payors, and assessments of AI implications (e.g., security, costs, etc.)
Monitor and troubleshoot ETL/ELT processes to ensure data quality and reliability
Ensure data pipelines align with institutional data governance standards, including metadata, classification, and lineage requirements
Ensure legacy Ellucian Operational Data Store remains stable, operational, and supported
Qualifications A bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Math, or a related field and five years of applicable experience in data analysis and warehousing is required. Relevant experience may be substituted for the Bachelor’s degree on a year-for-year basis.
A Master’s degree is preferred. Candidates with an equivalent combination of experience and/or education are encouraged to apply.
Required Skills General
Exceptional attention to detail, organizational skills, and the ability to manage multiple tasks simultaneously and independently. Must be able to prioritize, plan, and accomplish duties in a timely manner.
Proven research, analytical, and problem‑solving skills.
Talent for identifying and executing enhancements to improve the efficiency of data and business processes.
Proficiency with MS Office/Office 365.
Technical
Proven ability to integrate and configure AI tools (e.g., Copilot, OpenAI, Gemini) to enhance productivity, with sound judgment in evaluating security, cost, and operational implications.
Experience with:
Data mining, including techniques of data extraction, documentation, analysis, and reporting
Reporting tools such as Cognos/Insights/Argos
Dashboarding or visual analytics such as Tableau and Power BI
Programming and statistical languages such as SQL, Python, R, SAS, and SPSS
Understanding of:
Data modeling, ETL/ELT processes, and/or data integration techniques
Data Lake Management
Familiarity with data governance, security, and privacy best practices.
Preferred Skills Preferred Skills (see College of Charleston Employment Site | Senior Data Analyst)
Benefits
Life Insurance
Retirement
Long Term Disability
Paid Holidays
Free CARTA Bus Service
Employee Tuition Assistance Program (ETAP)
Location Charleston, South Carolina
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Compétences linguistiques
- English
Avis aux utilisateurs
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