Institutional Research Data Analyst

• Independently extract, clean, and analyze data from multiple institutional systems (e.g., Workday, Modern Campus, ADHE AHEIS) to produce accurate and consistent datasets

• Conduct data validation and quality checks to ensure accuracy, consistency, and reliability of outputs

• Apply quantitative methods (e.g., frequency, mean, median, mode, distributions, and trend comparisons) to summarize, interpret, and report data

• Develop tables, charts, and summary outputs using Excel and data visualization tools

• Support the development of recurring and ad hoc reports, including internal, state, and federal reporting requirements

• Independently complete moderate-level analytical requests and contribute to more complex analyses with guidance

• Maintain organized and reproducible documentation of data sources, queries, and analytical methods

• Contribute to improving data processes, reporting workflows, and documentation standards

• Maintenance and updating degree audit software and other assessment software for the college.

• Communicating degree plan updates to Student Records, Advising and other stakeholders.

• Maintain confidentiality and adhere to data governance and compliance requirements

• Additional duties may be assigned as necessary to support the goals and objectives of the department and college
   

Rate of Pay: $48,671 annualized *Higher compensation may be considered based on qualifications directly related to position

Completed applications received by 6/17/2026 will be assured full consideration. Late Applications will be reviewed as necessary to fill the position

This is a 100% in person position, No remote options.

Skills Assessment:

Finalist candidates will complete a 90‑minute, job‑related skills assessment using realistic NWACC-style datasets (e.g., Excel/CSV files). Candidates will be asked to integrate the data, answer key questions, and produce a concise report that demonstrates their ability to analyze, visualize, and clearly communicate findings, including effective use of analytical tools.

Minimum Qualifications:

• Associate degree (AA/AS), or equivalent course work as documented in academic transcript, in data science, analytics, mathematics, information systems, or a related field, and relevant professional experience

• Demonstrated experience using SQL and Power BI for data extraction, transformation, and reporting

Preferred Qualifications:

• Bachelor’s degree in data science, analytics, mathematics, information systems, or a related field

• Experience in advanced data visualization and dashboard development

• Experience developing automated reporting workflows or data pipelines using SQL and Power BI

• Experience working with higher education data systems or reporting environments

Knowledge, Skills, and Abilities:

• Proficiency in Microsoft Excel functions including Power Pivot, Dax, Power Query

• Proficiency in SQL and Power BI for data extraction, transformation, and reporting

• Ability to extract, clean, validate, and integrate data from multiple sources into accurate and reliable datasets

• Understanding of statistical concepts, including mean, median, mode, frequency, distributions, variability, and trend analysis

• Ability to create clear tables and effective data visualizations (charts, graphs)

• Strong attention to detail and commitment to data accuracy

• Ability to follow defined processes and maintain clear documentation

• Ability to manage multiple tasks, prioritize work, and meet deadlines

• Strong problem-solving and analytical thinking skills

• Ability to communicate findings clearly to internal stakeholders

• Experience using AI-assisted tools to support data analysis, coding, and workflow efficiency