Senior Data Analyst @ College of Charleston

Edtech.com's Summary

College of Charleston is hiring a Senior Data Analyst who supports data stewards by ensuring the accuracy, quality, and accessibility of institutional data. The role involves leveraging data governance tools, conducting expert analyses, collaborating with stakeholders to identify data-driven opportunities, and promoting a culture of data-informed decision-making across the College.

Highlights

Manage and optimize data warehouses and data lakes, ensuring data integrity and governance.
Collaborate with IT and institutional stakeholders to develop automated data pipelines and ETL processes.
Conduct comprehensive data analysis, create dashboards, reports, and provide actionable insights to improve institutional strategies.
Provide training, support, and documentation to end-users on business intelligence tools and data processes.
Contribute to BI strategy development, project management, and evaluate emerging data technologies.
Integrate and configure AI tools (e.g., OpenAI, Gemini) with attention to security, cost, and operational impacts.
Proficient in SQL, Python, R, SAS, SPSS, and reporting tools such as Cognos, Argos, Tableau, Power BI.
Required qualifications: Bachelor’s degree in Data Science or related field plus five years of data analysis/warehousing experience; Master’s preferred.
Salary range: $83,717 - $99,421, commensurate with education and experience.
Work with diverse departments including IT Administration, Enrollment Planning, Academic Affairs, and Institutional Research.

Senior Data Analyst Full Description

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Senior Data Analyst Bookmark this Posting Print Preview | Apply for this Job

Please see Special Instructions for more details.

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 https://jobs.cofc.edu.

Posting Details

POSTING INFORMATION

Internal Title	Senior Data Analyst
Position Type	Classified
Faculty / Non-Faculty / Administration	Non-Faculty
Pay Band	8
Level	5
Department	IT Administration
Job Purpose	The Senior Data Analyst supports the College’s data stewards by ensuring accurate documentation, quality, and accessibility of institutional data. This role leverages data governance tools to facilitate data discovery, promote consistent definitions, and enable trusted use of data across departments. The Senior Data Analyst provides expert analysis, partners with stakeholders to identify data-driven opportunities, and helps advance a culture of data-informed decision-making at the College.
Minimum Requirements	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 Knowledge, Skills and Abilities	Required Skills: General Exceptional attention to detail, organizational skills, and the ability to manage multiple tasks simultaneously. More specifically, 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. Technical Proven ability to integrate and configure AI tools (e.g., 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 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. Preferred Skills: Proficiency in data modeling, ETL processes, and/or data integration techniques. Working knowledge and practitioner of methods and techniques of data extraction, documentation, analysis, and reporting. Experience with: Cloud-based data warehousing and data lake solutions (AWS Redshift/Google BigQuery/Azure Data Lake). Specific tools that are applicable to our current systems (Cognos/Insights/Argos/Tableau/Power BI/SQL/Python/RSAS/SPSS). Knowledge and understanding of/adherence to: FERPA regulations and other data security and privacy laws. Data analysis techniques like machine learning, predictive modeling, and statistical analysis. Big data technologies such as Hadoop, Spark, or similar. The data needs of Higher Education and relevant systems, such as Ellucian’s Banner ERP and ODS, and their Oracle relational database infrastructure. Repositories such as Salesforce, IPEDS, US News, and National Student Clearinghouse (NSC).
Additional Comments Regarding Position	Candidates should bring a forward-thinking mindset and the technical acumen to responsibly harness AI’s growing impact in data and technology roles. Strong self-initiative, exemplary work ethic, and continued professional development are expected, commensurate with a senior-level role. Some occasional travel for professional development, conferences, and meetings may be required.
Special Instructions to Applicants	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 https://jobs.cofc.edu*.
Salary	*$83,717 - $99,421
Posting Date	09/25/2025
Closing Date	10/23/2025
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
Open Until Filled	No
Posting Number	2025130
EEO Statement	The College of Charleston is an equal opportunity employer and does not discriminate against any individual or group on the basis of sex, gender (including gender identity and/or expression), pregnancy, race, religion, color, national origin, age, disability, military or veteran status, sexual orientation, genetic information, and other classifications protected by applicable federal, state, and local laws. For more information, please visit eop.cofc.edu.
Quicklink for Posting	https://jobs.cofc.edu/postings/17187

Job Duties

Activity	Data Management: Collaborates with IT team members, institutional colleagues, and external partners to build automated data pipelines for exchanging data and information. Contributes to pipeline development using business intelligence (e.g., Cognos, Argos) and ETL (e.g., Informatica, Tableau Prep Builder) tools. Implement and maintain data warehouse solutions while optimizing data warehouse performance. Manage the life cycle of data and ensure data integrity, accuracy, and consistency within the data warehouse. Support the life cycle of Ellcuian Banner Operational Data Store (ODS) and patching, etc. Manage data lakes to store and process large volumes of structured and unstructured data. Implement data governance and security measures within the data lake environment. Leverage and maintain data governance tools (e.g., DataGalaxy) to document metadata, ensure data quality, support data discovery, and promote consistent, trusted use of institutional data. Integrate with machine learning tools like OpenAI, Gemini, etc. This is dependent upon thorough assessments of Artificial Intelligence (AI) implications (e.g., security, costs/payors, etc.) and requires proper setup/configuration (e.g., security rules). Establishes data tracking and data collection methods that ensure accuracy and validity in the final analyses.
Essential or Marginal	Essential
Percent of Time	20

Activity	Data Integration and ETL: Collaborate with the Enterprise Applications Management (EAM) department, Institutional Research (IR), and other university stakeholders (e.g., Enrollment Planning and Academic Affairs) to ensure seamless data integration from various sources into the data lake for analysis and reporting. In collaboration with institutional data owners and the EAM department, develop and manage 3rd party (non-ERP) ETL processes to extract, transform, and load data from multiple sources to support report and dashboard creation. This is inclusive of ensuring the identification and inclusion of necessary cost plans/payors and assessments of AI implications (e.g., security, costs, etc.). Monitor and troubleshoot ETL processes to ensure data quality and reliability.
Essential or Marginal	Essential
Percent of Time	15

Activity	Data Analysis & Reporting: Conduct comprehensive data analysis to identify trends, patterns, and anomalies in data to provide actionable insights that support strategic planning and operational efficiency. Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders. Provide actionable recommendations based on data analysis to drive business improvements. Create reports and contribute to the development of processes designed to enhance harmonization and quality control between the College’s multiple data systems.
Essential or Marginal	Essential
Percent of Time	15

Activity	Support and Training: Provide training and support to end-users on how to effectively use and interpret business intelligence reports, ensuring they can leverage the insights for decision-making. Develop and maintain data and business process documentation in written and visual forms to ensure continuity in the storage and archival of historical data files, as necessary. Ensures that documentation is maintained and accurately represents current processes. Effectively translates technical procedures to forms of documentation that are understandable to non-experts. Periodically solicits feedback from colleagues to ensure documentation is interpretable and implementable by others. Triage existing data problems and collaborate with business unit departmental data analysts and institutional data stewards to ensure that performance and data errors are resolved within the required deadlines. Conduct thorough testing and validation of reports to ensure accuracy and reliability. Regularly review and update reports to reflect changes to business needs, data sources, or methodologies.
Essential or Marginal	Essential
Percent of Time	15

Activity	Business Intelligence (BI) Strategy and Project Management: Contribute to institutional data literacy goals that empower campus stakeholders to understand, interpret, and effectively use data in their decision-making processes. Provide research-backed recommendations for consideration in the development of a data strategy and a BI strategic roadmap. Research emerging BI and data analysis technologies (e.g., unstructured data tools), industry trends, and new analytical methods to enhance campus-wide data insights and support strategic, data-informed decision-making. Evaluate, implement, and optimize business intelligence tools and functionalities—including advanced features of existing platforms—to support institutional priorities and align with the College’s strategic plan. Manage projects involving BI and serve on project teams for all BI-related projects.
Essential or Marginal	Essential
Percent of Time	15

Activity	Collaboration and Communication: Participate in institutional data-related committees and groups. Work collaboratively with BI teammates, IT Business Consultants, and cross-functional stakeholders across institutional divisions (e.g., Enrollment Planning, Academic Affairs, Business Affairs, Student Affairs, and IT) to gather requirements, understand reporting objectives, maintain knowledge of business processes and cross-functional data relationships, and support related technical needs. Communicate complex data concepts to non-technical stakeholders in a clear and concise manner.
Essential or Marginal	Essential
Percent of Time	10

Activity	Continuous Improvement: Stay up-to-date with industry trends and best practices in data analysis, data warehousing, and data lakes. Identify opportunities for process improvements and implement innovative data solutions. Engage in continuous professional development by pursuing relevant training, certifications, and learning opportunities to stay current with data analysis tools, methodologies, and higher education trends; share acquired knowledge to enhance team capabilities and institutional data practices. Mentor and provide guidance to junior data analysts and team members.
Essential or Marginal	Essential
Percent of Time	5

Activity	Other duties as assigned. This may include special project assignments within the Business Intelligence department or IT division, task force participation, or other activities as assigned.
Essential or Marginal	Marginal
Percent of Time	5

Supplemental Questions

Required fields are indicated with an asterisk (*).

* How did you hear about this employment opportunity?
- Chronicle of Higher Education
- CofC - Alumni Career Services
- College of Charleston Website
- Diverse: Issues in Higher Education
- Glassdoor
- Handshake
- HigherEdJobs
- Indeed.com
- Internal Job Posting
- jbcjobs (Joint Base Charleston Military & Family Readiness)
- Job Fair
- LinkedIn
- Monster.com
- Personal Referral
- Post and Courier
- Public Job Posting
- SC Works (SC Department of Employment and Workforce)
- Twitter
- Word of mouth
- Other
- National Labor Exchange
- CareerBuilder

Applicant Documents

Required Documents

Resume
Cover Letter / Letter of Application

Optional Documents

Curriculum Vitae
Other Document
Other Document 2
Other Document 3
Form DD 214

Email: jobs@cofc.edu
General Information: 843.953.5512
Mailing Address: 66 George St.
Charleston, SC 29424

HR Office 160 Calhoun St.
Lightsey Building B36
Charleston, SC 29424
Campus Maps

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.

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Original Job Description

Toggle navigation

Senior Data Analyst Bookmark this Posting Print Preview | Apply for this Job

Please see Special Instructions for more details.

*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 https://jobs.cofc.edu.

Posting Details

POSTING INFORMATION

Internal Title	Senior Data Analyst
Position Type	Classified
Faculty / Non-Faculty / Administration	Non-Faculty
Pay Band	8
Level	5
Department	IT Administration
Job Purpose	The Senior Data Analyst supports the College’s data stewards by ensuring accurate documentation, quality, and accessibility of institutional data. This role leverages data governance tools to facilitate data discovery, promote consistent definitions, and enable trusted use of data across departments. The Senior Data Analyst provides expert analysis, partners with stakeholders to identify data-driven opportunities, and helps advance a culture of data-informed decision-making at the College.
Minimum Requirements	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 Knowledge, Skills and Abilities	Required Skills: General Exceptional attention to detail, organizational skills, and the ability to manage multiple tasks simultaneously. More specifically, 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. Technical Proven ability to integrate and configure AI tools (e.g., 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 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. Preferred Skills: Proficiency in data modeling, ETL processes, and/or data integration techniques. Working knowledge and practitioner of methods and techniques of data extraction, documentation, analysis, and reporting. Experience with: Cloud-based data warehousing and data lake solutions (AWS Redshift/Google BigQuery/Azure Data Lake). Specific tools that are applicable to our current systems (Cognos/Insights/Argos/Tableau/Power BI/SQL/Python/RSAS/SPSS). Knowledge and understanding of/adherence to: FERPA regulations and other data security and privacy laws. Data analysis techniques like machine learning, predictive modeling, and statistical analysis. Big data technologies such as Hadoop, Spark, or similar. The data needs of Higher Education and relevant systems, such as Ellucian’s Banner ERP and ODS, and their Oracle relational database infrastructure. Repositories such as Salesforce, IPEDS, US News, and National Student Clearinghouse (NSC).
Additional Comments Regarding Position	Candidates should bring a forward-thinking mindset and the technical acumen to responsibly harness AI’s growing impact in data and technology roles. Strong self-initiative, exemplary work ethic, and continued professional development are expected, commensurate with a senior-level role. Some occasional travel for professional development, conferences, and meetings may be required.
Special Instructions to Applicants	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 https://jobs.cofc.edu*.
Salary	*$83,717 - $99,421
Posting Date	09/25/2025
Closing Date	10/23/2025
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
Open Until Filled	No
Posting Number	2025130
EEO Statement	The College of Charleston is an equal opportunity employer and does not discriminate against any individual or group on the basis of sex, gender (including gender identity and/or expression), pregnancy, race, religion, color, national origin, age, disability, military or veteran status, sexual orientation, genetic information, and other classifications protected by applicable federal, state, and local laws. For more information, please visit eop.cofc.edu.
Quicklink for Posting	https://jobs.cofc.edu/postings/17187

Job Duties

Activity	Data Management: Collaborates with IT team members, institutional colleagues, and external partners to build automated data pipelines for exchanging data and information. Contributes to pipeline development using business intelligence (e.g., Cognos, Argos) and ETL (e.g., Informatica, Tableau Prep Builder) tools. Implement and maintain data warehouse solutions while optimizing data warehouse performance. Manage the life cycle of data and ensure data integrity, accuracy, and consistency within the data warehouse. Support the life cycle of Ellcuian Banner Operational Data Store (ODS) and patching, etc. Manage data lakes to store and process large volumes of structured and unstructured data. Implement data governance and security measures within the data lake environment. Leverage and maintain data governance tools (e.g., DataGalaxy) to document metadata, ensure data quality, support data discovery, and promote consistent, trusted use of institutional data. Integrate with machine learning tools like OpenAI, Gemini, etc. This is dependent upon thorough assessments of Artificial Intelligence (AI) implications (e.g., security, costs/payors, etc.) and requires proper setup/configuration (e.g., security rules). Establishes data tracking and data collection methods that ensure accuracy and validity in the final analyses.
Essential or Marginal	Essential
Percent of Time	20

Activity	Data Integration and ETL: Collaborate with the Enterprise Applications Management (EAM) department, Institutional Research (IR), and other university stakeholders (e.g., Enrollment Planning and Academic Affairs) to ensure seamless data integration from various sources into the data lake for analysis and reporting. In collaboration with institutional data owners and the EAM department, develop and manage 3rd party (non-ERP) ETL processes to extract, transform, and load data from multiple sources to support report and dashboard creation. This is inclusive of ensuring the identification and inclusion of necessary cost plans/payors and assessments of AI implications (e.g., security, costs, etc.). Monitor and troubleshoot ETL processes to ensure data quality and reliability.
Essential or Marginal	Essential
Percent of Time	15

Activity	Data Analysis & Reporting: Conduct comprehensive data analysis to identify trends, patterns, and anomalies in data to provide actionable insights that support strategic planning and operational efficiency. Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders. Provide actionable recommendations based on data analysis to drive business improvements. Create reports and contribute to the development of processes designed to enhance harmonization and quality control between the College’s multiple data systems.
Essential or Marginal	Essential
Percent of Time	15

Activity	Support and Training: Provide training and support to end-users on how to effectively use and interpret business intelligence reports, ensuring they can leverage the insights for decision-making. Develop and maintain data and business process documentation in written and visual forms to ensure continuity in the storage and archival of historical data files, as necessary. Ensures that documentation is maintained and accurately represents current processes. Effectively translates technical procedures to forms of documentation that are understandable to non-experts. Periodically solicits feedback from colleagues to ensure documentation is interpretable and implementable by others. Triage existing data problems and collaborate with business unit departmental data analysts and institutional data stewards to ensure that performance and data errors are resolved within the required deadlines. Conduct thorough testing and validation of reports to ensure accuracy and reliability. Regularly review and update reports to reflect changes to business needs, data sources, or methodologies.
Essential or Marginal	Essential
Percent of Time	15

Activity	Business Intelligence (BI) Strategy and Project Management: Contribute to institutional data literacy goals that empower campus stakeholders to understand, interpret, and effectively use data in their decision-making processes. Provide research-backed recommendations for consideration in the development of a data strategy and a BI strategic roadmap. Research emerging BI and data analysis technologies (e.g., unstructured data tools), industry trends, and new analytical methods to enhance campus-wide data insights and support strategic, data-informed decision-making. Evaluate, implement, and optimize business intelligence tools and functionalities—including advanced features of existing platforms—to support institutional priorities and align with the College’s strategic plan. Manage projects involving BI and serve on project teams for all BI-related projects.
Essential or Marginal	Essential
Percent of Time	15

Activity	Collaboration and Communication: Participate in institutional data-related committees and groups. Work collaboratively with BI teammates, IT Business Consultants, and cross-functional stakeholders across institutional divisions (e.g., Enrollment Planning, Academic Affairs, Business Affairs, Student Affairs, and IT) to gather requirements, understand reporting objectives, maintain knowledge of business processes and cross-functional data relationships, and support related technical needs. Communicate complex data concepts to non-technical stakeholders in a clear and concise manner.
Essential or Marginal	Essential
Percent of Time	10

Activity	Continuous Improvement: Stay up-to-date with industry trends and best practices in data analysis, data warehousing, and data lakes. Identify opportunities for process improvements and implement innovative data solutions. Engage in continuous professional development by pursuing relevant training, certifications, and learning opportunities to stay current with data analysis tools, methodologies, and higher education trends; share acquired knowledge to enhance team capabilities and institutional data practices. Mentor and provide guidance to junior data analysts and team members.
Essential or Marginal	Essential
Percent of Time	5

Activity	Other duties as assigned. This may include special project assignments within the Business Intelligence department or IT division, task force participation, or other activities as assigned.
Essential or Marginal	Marginal
Percent of Time	5

Supplemental Questions

Required fields are indicated with an asterisk (*).

* How did you hear about this employment opportunity?
- Chronicle of Higher Education
- CofC - Alumni Career Services
- College of Charleston Website
- Diverse: Issues in Higher Education
- Glassdoor
- Handshake
- HigherEdJobs
- Indeed.com
- Internal Job Posting
- jbcjobs (Joint Base Charleston Military & Family Readiness)
- Job Fair
- LinkedIn
- Monster.com
- Personal Referral
- Post and Courier
- Public Job Posting
- SC Works (SC Department of Employment and Workforce)
- Twitter
- Word of mouth
- Other
- National Labor Exchange
- CareerBuilder

Applicant Documents

Required Documents

Resume
Cover Letter / Letter of Application

Optional Documents

Curriculum Vitae
Other Document
Other Document 2
Other Document 3
Form DD 214

Email: jobs@cofc.edu
General Information: 843.953.5512
Mailing Address: 66 George St.
Charleston, SC 29424

HR Office 160 Calhoun St.
Lightsey Building B36
Charleston, SC 29424
Campus Maps

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Senior Data Analyst

Edtech.com's Summary

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