Institutional Research Data Analyst

North West Arkansas Community College (NWACC) provides quality and affordable higher education to empower lives and strengthen communities within Northwest Arkansas and surrounding areas.

As the largest community college in Arkansas, NWACC is recognized as a leader in education. NWACC offers a full range of associate degrees, certificates and workforce training programs that prepare students for rewarding futures and careers.

NWACC employees are dedicated to fostering a diverse educational community and cultural learning environment that supports student success.

Reporting to the Director of Institutional Research (IR), the Data Analyst performs data extraction, analysis, and reporting to support institutional research activities. This position is responsible for querying institutional data systems, integrating data from multiple sources, and producing accurate tables, datasets, and summaries to support decision-making across the institution.

Essential Duties:

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 BIExperience 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…