Data Analyst

Colorado Community College System (CCCS); Littleton (CO); On-site; USD 71,000 - 81,000; Full time

Job summary

Arapahoe Community College is seeking a Data Analyst to support institutional effectiveness through data analysis, reporting, automation, and business intelligence solutions.

Working within the Office of Institutional Research, this position plays a critical role in collecting, analyzing, and interpreting institutional data related to enrollment, student success, demographics, and other key performance indicators that inform strategic planning across the college.

Qualifications

• Bachelor's degree or equivalent in a related field.
• 2+ years of professional experience with large data sets in SQL, Python, or R.
• Experience with ETL/ELT pipelines and data integration.
• Proficiency with Tableau/Power BI or Looker for data visualization.

Responsibilities

• Design, build, automate, and maintain data pipelines and BI solutions.
• Query, manage, and analyze large data sets using SQL, Python, or R.
• Develop dashboards and reports with Power BI, Tableau, and web tools.
• Collaborate with faculty and staff to deliver actionable insights.
• Monitor KPIs and ensure data accuracy and integrity.
• Coordinate surveys and support data interpretation for decision making.

Skills

SQL querying

Data visualization

Python/R programming

Communication

Analytical thinking

Education

Bachelor's degree or equivalent

Tools

Power BI

Tableau

Looker

SQL Server

Oracle

MySQL

PostgreSQL

Excel

ETL/ELT

Job description

Title: Data Analyst

Position Type: Professional Tech Full time

College: Arapahoe Community College

Division: Strategy & Institutional Initiatives

Department: ACC Institutional Research

Campus:Littleton Campus

Location: Littleton

Salary Range:$70,898 - $80,566

Who We Are:

ACC Careers: Where You Can Move Mountains

Nestled in the foothills of the Rocky Mountains sits one of the oldest community colleges in Colorado, Arapahoe Community College. With a rich history of educational excellence, ACC embraces a culture that values diversity, individualized support, and unwavering commitment to student success, without exception.

Job Summary:

Arapahoe Community College is seeking a Data Analyst to support institutional effectiveness through data analysis, reporting, automation, and business intelligence solutions. Working within the Office of Institutional Research, this position plays a critical role in collecting, analyzing, and interpreting institutional data related to enrollment, student success, demographics, and other key performance indicators that inform strategic planning across the college.

Candidates should be comfortable operating in both modern and legacy data environments. While proficiency in current analytics tools and best practices is essential, this role requires flexibility and problem-solving skills to work effectively with less-structured data systems as we continue to modernize our data infrastructure. Success in this position requires a commitment to data integrity, continuous improvement, and the ability to communicate complex information to both technical and non-technical audiences.

Key Responsibilities:

• Design, build, automate, and maintain data pipelines, reporting frameworks, and business intelligence solutions.
• Query, manage, and analyze large and complex data sets using tools such as Excel, SQL, Python, R, and business intelligence platforms.
• Develop and maintain interactive dashboards, reports, and visualizations using Power BI, Tableau, and web-based tools.
• Collaborate with faculty, staff, administrators, and leadership to identify data needs and deliver actionable insights.
• Monitor and report key performance indicators (KPIs) that support institutional planning and decision-making.
• Ensure data accuracy, integrity, and consistency by partnering with data owners across the college.
• Coordinate institutional surveys, manage survey platforms, and support the interpretation and communication of survey results.
• Provide training and guidance on data access, interpretation, visualization, and the effective use of data in decision-making.

Competencies/KSAs:

• Expertise in relational and NoSQL databases, including SQL Server, Oracle, MySQL, PostgreSQL, with advanced skills in writing and optimizing SQL queries, procedures, and views.
• Proficient in data integration and ETL/ELT processes, with strong understanding of data warehousing and business intelligence concepts.
• Knowledge of higher education reporting, compliance, and accreditation processes, including experience with external reporting requirements (e.g., IPEDS, Common Data Set, state and federal reporting), institutional surveys, course evaluations, and continuous improvement initiatives.
• Skilled in programming languages for data analysis and automation, such as Python, Java, C#, SAS, R, and SPSS.
• Ability to guide data conversations and data consumers so data are presented and interpreted as actionable insights for immediate use in institutional decision-making for business decisions.
• Experienced in building interactive dashboards and visualizations using Power BI, Tableau, and web-based tools.
• Strong analytical and problem-solving skills and attention to detail for work with moderate-to-high complexity data under moderate supervision.
• Effective team collaborator and communicator across technical and non-technical audiences, translating campus needs into data solutions.
• Capable of navigating ambiguity, managing multiple projects independently, time management within a demanding workload, and adapting to evolving technologies.
• Committed to data integrity and confidentiality with a logical approach to organizing, analyzing, and documenting data.

Minimum Qualifications:

• Bachelor's degree OR an equivalent combination of education and/or relevant experience. An equivalency will not count towards the experience requirements listed below.
• Two years of professional experience with large and longitudinal data sets in relational database environments, SQL, Python, or R for data querying, manipulation, and analysis. ETL/ELT pipelines and data integration, ad hoc data analysis in spreadsheet applications using formulas, data connection queries, and Power Pivot, and data visualization platforms such as Tableau, Power BI, or Looker.

Preferred Qualifications:

• Experience designing, administering, and analyzing surveys.

Additional Information/Benefits:

All benefits information can be found at the Benefits tab on the top of the page.