Data Analyst I

San Jacinto College in Pasadena, TX is seeking a Data Analyst I to support Institutional Research and Data Science through data preparation, analysis, and reporting to aid planning, accreditation, accountability, and student success.

Responsibilities

• Access and harmonize structured data from approved sources and semantic models using SQL, Python, SAS, Power BI, or similar tools, with guidance from senior analysts or data partners.
• Create, maintain, and enhance dashboards, reports, scorecards, and official reporting components using enterprise BI and visualization tools.
• Support standardized metrics, KPIs, recurring institutional reporting, and official, statutory, regulatory, accreditation, and accountability reporting by applying definitions, calculation methods, submission specs, documentation requirements, validation procedures, and standards.
• Collaborate with internal stakeholders to clarify reporting needs, translate business questions into data requirements, and deliver clear, decision-useful outputs.
• Produce descriptive analyses, summaries, trends, and visualizations for operational, strategic, compliance-related, and student-success purposes.
• Adhere to data governance, privacy, security, records management, and Responsible AI practices, documenting AI usage, preserving human review, validating against approved definitions, and escalating inappropriate outputs.
• Validate dashboards, reports, datasets, and AI-assisted outputs by comparing with source data and metrics; perform routine quality checks; document inaccuracies, bias or fairness concerns, privacy issues, or limitations; escalate complex concerns as needed.
• Document metric definitions, report logic, calculation methods, data sources, assumptions, limitations, recurring procedures, AI usage, validation, and human-review decisions to support transparency and auditability.
• Monitor the reliability and usability of dashboards and outputs, contributing to ongoing improvements of institutional data products.
• Support institutional effectiveness, accreditation, planning, accountability, and student-success initiatives through recurring and ad hoc analyses; communicate findings and limitations clearly to technical and nontechnical audiences; avoid presenting AI-generated content as verified institutional analysis without appropriate validation.

Requirements

• Commitment to the philosophy, values, and goals of a comprehensive community college and to student success.
• Knowledge of data security practices and FERPA requirements to protect sensitive information from misuse or disclosure.
• Familiarity with basic analytical methods, descriptive statistics, institutional reporting practices, and official-reporting life cycles under established standards.
• Understanding of dashboard, report, scorecard, and data visualization design principles, including effective use of charts, tables, summaries, and metric displays.
• Knowledge of data quality, validation, metadata, documentation, governance, and Responsible AI practices supporting accurate 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, interpreting data definitions, applying business rules, using relational database concepts, and performing basic querying, joining, validation, and data preparation for reporting or visualization.
• Ability to organize, validate, interpret, and present data and to review AI-assisted outputs for trends, discrepancies, potential bias, privacy issues, and limitations.
• Ability to translate stakeholder questions and priorities into data requirements, reports, dashboards, visualizations, and analytical outputs.
• Capacity to learn and apply query-based, statistical, programming, spreadsheet, reporting, BI, AI-assisted, or related tools to access, prepare, organize, validate, analyze, and present institutional data while preserving human judgment and documentation.
• Ability to learn institutional data structures, enterprise system contexts, recurring and official reporting requirements, submission specifications, standards, processes, and governance expectations.
• Commitment to applying established standards consistently, validating AI outputs against approved data, documenting use and review, and escalating discrepancies or privacy concerns when necessary.
• Clear communication of analytical information, AI-disclosures when required, assumptions, limitations, and cautions to technical and nontechnical audiences.
• Ability to innovate and think critically to identify improvements across responsibilities.
• Strong written and verbal communication skills for diverse stakeholders, including presenting findings, drafting training materials, and contributing to effective trainings and presentations.
• Ability to collaborate in a hybrid, on-site and remote environment and adapt to change with continuous learning and problem-solving.
• Ability to work independently with attention to detail, accuracy, and organization while prioritizing multiple projects and coordinating with multiple stakeholders.
• One year of experience in reporting, analytics, institutional research, business intelligence, assessment, evaluation, official-reporting support, or related functions involving preparation of reports, dashboards, analyses, data files, validation records, or supporting documentation.
• Documented evidence of comparable capability through a portfolio of work, coursework, certifications, or other achievements demonstrating the ability to develop reports or dashboards, work with structured data, and apply basic data preparation, validation, documentation, and analysis practices using spreadsheet, reporting, BI, statistical, or programming tools.
• Minimum education: Bachelor’s degree in data analytics, statistics, institutional research, information systems, business analytics, or related field.

Technologies

• SQL
• Python
• SAS
• Power BI
• Tableau
• DAX
• Microsoft Fabric

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 for college-wide projects or initiatives.
• Other duties as assigned