Senior Data Analyst
Application Procedure:
Please complete the application to include all current and previous work history and education. A resume will not be accepted nor reviewed to determine if an applicant has met the qualifications for the position.
*Salary is commensurate with education/experience which exceeds the minimum requirements.
Offers of employment are contingent upon a successful background check.
All applications must be submitted online College of Charleston Employment Site | Senior Data Analyst
Job Duties
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.” See College of Charleston Employment Site | Senior Data Analyst for full job duties. Data Management:
Data Integration and ETL/ELT:
Data Analysis & Reporting; Support and Training; Business Intelligence (BI) Strategy and Project Management; Collaboration and Communication; Continuous Improvement.... |
Job Qualifications
- 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.
- Communications
- Excellent written and verbal communication skills with the ability to communicate complex technical information to non-technical stakeholders.
- Must be able to form successful working relationships with senior leadership, faculty, staff, students, and external authorities and organizations, as appropriate.
- Ability to provide status reports and other technical reports in a clear and concise manner.
Institution Description
Benefits
- Insurance: Health/Dental/Vision
- Life Insurance
- Paid Leave: Sick/Annual/Parental
- Retirement
- Long Term Disability
- Paid Holidays
- Free CARTA Bus Service
- Employee Tuition Assistance Program (ETAP)
- Employee Assistance Program (EAP)
- Full Benefits Package – Click Here
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