Data Analyst I - District OfficePRIMARY FUNCTION: The Data Analyst I supports Institutional Research and Data Science by accessing and preparing structured data and by developing, maintaining, and improving dashboards, reports, scorecards, recurring analyses, and metric-based decision-support tools. The position assists with translating institutional priorities and stakeholder questions into reliable data products, metric definitions, descriptive analyses, and visualizations that support planning, institutional effectiveness, accreditation, accountability, operational improvement, and student success. Working within established data standards and under guidance for more complex assignments, the position contributes to accurate, consistent, and responsible use of institutional data, including verification, documentation, human review, and escalation of AI-assisted analytical outputs before they are used or communicated.
Essential Job Functions: - Access, query, join, and prepare structured data from approved institutional data sources, semantic models, or reporting schemas using tools such as SQL, Python, SAS, Power BI, or comparable platforms, under guidance from senior analysts or data partners.
- Develop, maintain, and improve dashboards, reports, scorecards, assigned official-reporting components, and other data products using approved enterprise reporting and visualization tools.
- Support standardized metrics, key performance indicators, recurring institutional reporting, and assigned official, statutory, regulatory, accreditation, and accountability reporting by applying established definitions, calculation methods, submission specifications, documentation requirements, validation procedures, and reporting standards.
- Work with internal stakeholders to clarify reporting needs, translate business questions into data requirements, and produce clear, decision-useful outputs.
- Prepare descriptive analyses, summaries, trends, and visualizations for operational, strategic, compliance-related, and student success purposes.
- Apply established business rules, data definitions, governance standards, privacy requirements, security expectations, records-management practices, and Responsible AI-supported analytics procedures, including documentation of AI assistance, preservation of required human review, verification against approved data and metric definitions, and escalation of unsupported or inappropriate outputs.
- Validate dashboards, reports, datasets, analytical outputs, and AI-assisted summaries or visualizations; compare outputs with approved source data, definitions, and metrics; perform routine quality and reasonableness checks; document potential inaccuracies, unsupported conclusions, misleading language, bias or fairness concerns, privacy issues, or limitations; and escalate complex or consequential issues as appropriate.
- Document metric definitions, report logic, calculation methods, data sources, assumptions, limitations, recurring production procedures, use of AI-assisted methods, validation performed, human-review decisions, and unresolved concerns to support transparency, consistency, auditability, and continuity.
- Monitor the reliability, usability, and consistency of dashboards, reports, and metric outputs and contribute to continuous improvement of institutional data products.
- Support institutional effectiveness, accreditation, planning, accountability, official reporting, and student-success initiatives through recurring and ad hoc analyses; communicate findings and limitations clearly to technical and nontechnical audiences; and avoid presenting AI-generated content as verified institutional analysis without appropriate validation and professional review.
Additional Job Functions: - Participate in professional development related to analytics, visualization, data governance, institutional data use, and responsible AI-supported analytics.
- Serve on councils and committees as requested to provide institutional research expertise and support for college-wide projects or initiatives.
- Other duties as assigned
Knowledge, Skills and Abilities:- Knowledgeable of and committed to the philosophy of a comprehensive community college, the College's values and institutional goals, and student success.
- Knowledgeable of data security practices and policies, including FERPA, necessary to protect sensitive or confidential information from intentional or unintentional disclosure.
- Knowledge of basic analytical methods, descriptive statistics, institutional reporting practices, and official-reporting life cycles used to prepare, summarize, validate, and interpret institutional data under established standards.
- Knowledge of dashboard, report, scorecard, and data visualization design principles, including effective use of charts, tables, summaries, and metric displays.
- Knowledge of data quality, data validation, metadata, documentation, governance, and Responsible AI-supported analytics practices that support accurate, transparent, and consistent institutional reporting.
- Proficiency with spreadsheet, reporting, visualization, and business intelligence tools such as Power BI, Tableau, or comparable platforms.
- Skill in working with structured data, including interpreting data definitions, applying business rules, using relational database concepts, and basic querying, joining, validation, and preparation of data for reporting or visualization.
- Skill in organizing, validating, interpreting, and presenting data and in reviewing AI-assisted analytical outputs to identify trends, discrepancies, unsupported conclusions, potential bias or fairness concerns, privacy issues, findings, assumptions, and limitations.
- Ability to translate stakeholder questions and institutional priorities into data requirements, reports, dashboards, visualizations, and analytical outputs.
- Ability to learn and apply approved query-based, statistical, programming, spreadsheet, reporting, business-intelligence, AI-assisted, or comparable tools to access, prepare, organize, validate, analyze, and present institutional data while preserving required human judgment and documentation.
- Ability to learn institutional data structures, enterprise system contexts, recurring and official reporting requirements, submission specifications, reporting standards, business processes, and governance expectations.
- Ability to apply established standards consistently and accurately; validate AI-assisted outputs against approved data, definitions, and metrics; document use and review; and recognize when discrepancies, data-quality concerns, privacy issues, potential bias or fairness concerns, or complex reporting questions should be escalated.
- Ability to communicate analytical information, findings, AI-assistance disclosures where required, assumptions, limitations, and appropriate-use cautions in clear, accessible language for technical and nontechnical audiences.
- Ability to innovate and to think critically to identify prospective improvements to processes across areas of responsibility.
- Strong written and verbal communication skills to communicate with a broad range of technical and non-technical stakeholders including but not limited to presenting findings and actionable recommendations, writing technical training documents and manuals, and contributing to effective presentations for training and other purposes.
- Skill and ability to work collaboratively in an open, hybrid, on-site and remote office environment and to adapt to change that requires continuous learning, initiative, and problem-solving.
- Ability to work independently with attention to details, accuracy, and organization while prioritizing and coordinating multiple, varied projects with effective time and task management involving multiple stakeholders.
Required Education: - Bachelor's degree in data analytics, statistics, institutional research, information systems, business analytics, computer science, mathematics, social science, public policy, or a related field.
Preferred Education: - Graduate coursework, graduate degree, or formal certificate program in data analytics, institutional research, statistics, information systems, business analytics, social science research, public policy, assessment, evaluation, or a related field.
Required Experience: - One (1) year of experience in reporting, analytics, institutional research, business intelligence, assessment, evaluation, official-reporting support, or a related function involving preparation of reports, dashboards, analyses, data files, validation records, supporting documentation, or decision-support outputs.
OR
- Documented evidence of comparable capability through a portfolio of relevant work products, applied project work, graduate-level applied coursework, professional accomplishments, professional certifications, or applied training demonstrating the ability to develop reports or dashboards; work with structured data; and apply basic data preparation, validation, documentation, analysis, or official-reporting support practices using spreadsheet, reporting, business intelligence, statistical, programming, query-based, or comparable tools.
Preferred Experience: - Experience performing analytics, reporting, institutional research, assessment, evaluation, or decision-support work in higher education, a community college, the public sector, or a similarly complex service organization.
- Experience supporting institutional effectiveness, accreditation, planning, enrollment, finance, student success, academic operations, compliance reporting, or similar institutional reporting domains.
- Experience supporting recurring official reports, metric dashboards, scorecards, or production reporting in an institutional environment.
- Experience working in a data environment that includes enterprise administrative systems such as a student information system, enterprise resource planning system, customer relationship management system, learning management system, or comparable institutional system environment.
Preferred Licenses/Certifications:- Microsoft Power BI Data Analyst Associate (PL-300) or comparable business intelligence or data visualization credential.
- Foundational coursework, training, certification, or applied learning in SQL, SAS, Python, Power BI, DAX, Microsoft Fabric, data storytelling, business intelligence, statistical analysis, Responsible AI-supported analytics, AI-output evaluation, or comparable data-access, preparation, analysis, or visualization tools and methods.
Note: This position has limited opportunity for remote work arrangements with appropriate approvals and in accordance with the policies, procedures, and needs of the College.Salary Grade: 116
Salary is based on the Board-approved salary schedule for the current fiscal year.
See Salary ScheduleRequisition Number: req6356
Posting Close Date: 8/7/2026
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