Data Strategist

City Colleges of Chicago; Chicago (IL); On-site; USD 70,251 - 72,000; Full time

Job summary

Olive-Harvey College is seeking a Data Strategist to drive strategic data analysis and reporting for institutional excellence. The role supports executive decision-making through clear data displays and dashboards.

The candidate will monitor college metrics, create action plans, and build data capacity across departments. Strong SQL, Power BI/Tableau, and MS Office skills are required, with a focus on student success and evidence-based practices.

Qualifications

• Bachelor’s degree in a quantitative field (statistics, business, mathematics, economics, or public policy)
• Master’s degree preferred
• Three years of relevant experience in research or data analysis with quantitative and qualitative methods
• Three years of relevant experience in higher education research preferred
• Proficiency with Microsoft Office (Word, Excel, PowerPoint)
• Moderate to high proficiency with SQL programming or data querying; SQL Server a plus
• Experience with Power BI, Tableau, or other data visualization tools
• Experience with statistical analysis software (SAS, R, STATA) desirable

Responsibilities

• Provide data analysis and develop displays communicating complex analyses to executive and senior staff
• Monitor district and college metrics; help set goals and develop action plans
• Collaborate cross-functionally to push strategic initiatives and surface issues
• Develop and refine district/college-wide data collection and dissemination policies
• Train researchers and staff to make meaningful data connections
• Develop infrastructure for knowledge management (e.g., SharePoint) and data capacity building

Skills

Data analysis

Data visualization

SQL querying

Excel

Power BI

Tableau

Office suite

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

SQL Server

SAS

R

STATA

Job description

DATA STRATEGIST

OLIVE-HARVEY COLLEGE

Olive-Harvey College is seeking a Data Strategist. The Office of Institutional Excellence's mission is to generate, evaluate, and implement strategic initiatives that create sustainable long‑term improvements for the colleges and the district in alignment with City Colleges’ student‑centric mission, vision, and goals.

ESSENTIAL DUTIES

• Provide data and analytic support: Conduct strategic data analysis, identify insights and implications from institutional data and make strategic recommendations to executive and senior staff. Develop data displays that clearly communicate complex analyses to multiple audiences, including executive and senior staff.
• Facilitate performance metric monitoring: Monitor District and college strategic metrics through performance dialogue forums. Work with staff at different levels of the organization to create metrics, set goals and conduct analyses; use operational data in real time to develop and execute action plans focused on improving institutional practices, policies, procedures and ultimately student success. Build structures, tools and routines to institutionalize a data‑driven culture of student success.
• Work cross‑functionally across the organization: Maintain cross‑functional visibility across all departments to help push strategic initiatives forward and surface critical issues. Provide ongoing oversight and support to management and decision making to ensure that measures are being used to effectively manage operations and effect institutional change.
• Develop and refine institutional data capacity through data use: Support development of district/college‑wide data collection, analysis and dissemination of policies and practices; train researchers and staff to make meaningful data connections.
• Develop and refine institutional data capacity through knowledge sharing: Facilitate regular reviews with district/college team; synthesize and share key insights across projects. Develop, maintain and train teams on infrastructure (such as Sharepoint) to support knowledge management.
• Develop and refine institutional data capacity through capacity building: Help staff use data in real time, lead data capacity‑building trainings on data literacy. Support the development of tools, templates, and reports that address the needs of building data capacity across CCC. Provide support to the implementation, maintenance, and adoption of CCC business intelligence tools.

QUALIFICATIONS

• A Bachelor’s degree from an accredited college or university in a quantitative discipline such as statistics, business, mathematics, economics, or public policy; or a related field of study.
• Master’s degree is highly preferred.
• Three years of relevant experience in research or data analysis, with demonstrated experience in quantitative and qualitative research methods and statistics.
• Three years of relevant experience in higher education research, highly desirable.
• A combination of education and experience may be taken into consideration based on the applicant’s credentials provided the minimum degree requirement is met.
• High level of proficiency in the use of Microsoft Office (Word, Excel, PowerPoint).
• Moderate to high level of proficiency with SQL programming or data querying.
• Experience with Power BI, Tableau, or other data visualization tools preferred.
• Experience with statistical analysis software (e.g., SAS, R, STATA) highly desirable.
• Experience in quantitative statistical analysis highly desirable.
• Experience using SQL Server a plus.

Compensation

Salary Range: $70,251 - $72,000 Annually. Offered salary will be determined by the applicant's education, knowledge, skills and abilities, as well as other factors such as internal equity.

Benefits

Excellent benefits include health benefits, 403(b) & 457(b) investment plans, paid vacation/holidays, and City Colleges tuition waiver. For a detailed overview of benefits visit the benefits page at https://www.ccc.edu/departments/Benefits/.

Chicago Residency

Chicago residency is required for all full‑time employees within 6 months of hire.

EEO Statement

We are an equal opportunity and affirmative action employer.