Data Analyst - Education

Cognitell, 3000 Youngfield St, Lakewood, Colorado, United States of America

Denver, CO, USA

Cognitell, 6547 N Academy Blvd, Colorado Springs, Colorado, United States of America

Posted Tuesday 10 February 2026 at 08:00

Cognitell is a subsidiary of Sealaska

Job Title
: Data Analyst I - Higher Education

Job Summary: The Data Analyst will assist with preparing, analyzing, and reporting on higher education and related datasets to support research and strategic decision-making. Responsibilities include creating dashboards, generating reports, and helping integrate large, diverse data sources for longitudinal analysis and actionable insights. The role involves supporting ETL processes to maintain data accuracy, applying descriptive statistical methods, and presenting findings that enable cross‑sector collaboration and continuous improvement in higher education services.

This position requires coordination with other analysts and data professionals and ensuring consistency across multiple data sources.

• Assist in preparing and analyzing higher education datasets to support research and reporting needs.
• Support data collection, acquisition, and maintenance processes to ensure accuracy and integrity.
• Apply critical thinking to interpret data requests and provide clear, descriptive analysis.
• Create dashboards, reports, and visualizations for internal and external stakeholders.
• Help integrate large, diverse datasets for longitudinal analysis and actionable insights.
• Assist with ETL processes and basic data quality checks to maintain consistency across sources.
• Collaborate with internal teams and client stakeholders to ensure alignment and support cross‑sector data initiatives.
• Maintain documentation for processes and data sources to ensure sustainability.
• Other duties as assigned.

• Work with relational databases and curated datasets for analysis.
• Implement analytics dashboards and reporting tools (e.g., Tableau, Power
  
  BI, R Shiny).
• Perform routine QA/QC checks and monitor data quality using established KPIs.
• Conduct exploratory analysis and prepare summary reports for decision‑making.

• Strong verbal and written communication skills; able to present information clearly.
• Excellent interpersonal and customer service skills; comfortable working with diverse stakeholders.
• Proven organizational and time management skills with attention to detail.
• Ability to thrive in a fast‑paced environment.
• Strong analytical and problem‑solving skills.
• Proficiency in Microsoft Office Suite and familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of higher education data systems and related datasets.
• Familiarity with data analysis techniques and basic data mining concepts.
• Coding experience in Python, R, SQL, or similar languages.
• Passion for discovering insights in large datasets and collaborating with stakeholders to improve outcomes.

• Bachelor’s degree in a quantitative or technical field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 2+ years of experience working in a data consulting role solving business problems through data analysis.
• Experience with SQL and other data querying tools.
• Experience creating dashboards and reports using tools such as Tableau or Power BI.

The physical and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee is required to walk, use hands to finger, handle objects, tools, or controls; reach with hands and arms; balance; stoop; bending or crouching; talk or hear. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
• Some lifting of files, opening cabinets.
• Bending or standing as necessary.
• Prolonged periods sitting at a desk and working on a computer.
• Mu…