Chicago Early Childhood Integrated Data System (CE

at Northern Illinois University in DeKalb, Illinois, United States

Job Description

Position Information

Working Position Title
 Chicago Early Childhood Integrated Data System (CECIDS) Research Fellow (38972)
Classification
 Research Associate
Position Number
 00038972
Open Date
 05/14/2024
Close Date
Priority Review Date
 05/22/2024
Employee Class
 Staff
Full-Time/Part Time
 Full-Time
FTE
 1.00
Position Status
 Temporary
FLSA
 Exempt
Job code
 1620SPS03
Union Representation
 Non-Union
Union Code 
 N/A
Unit/Department
 Education Systems Center
College/Unit
 P20 Initiatives Network
Division
 Outreach Engagemt Regl Dev Dv
Location
 MONAT 283
Link to Department Website or Custom Search Page
 https://niutoday.info/2023/01/31/niu-center-for-early-learning-funding-equity-celfe-leads-the-charg
Position Summary, Requirements, and Qualifications

Overview
The Chicago Early Childhood Integrated Data System (CECIDS) stands as a pioneering initiative within the broader mission of the Center for Early Learning Funding Equity (CELFE). The Center for Early Learning Funding Equity (CELFE) was established to develop and promote research- and data-informed strategies to transform funding of Early Childhood Education and Care (ECEC) programs for children ages 0-5. Housed in Northern Illinois University's Division of Outreach, Engagement, and Regional Development (OERD), CELFE works in collaboration with academic, data, and research partners across the NIU system as well as with external partners.

At its core, CECIDS is a groundbreaking real-time, comprehensive, citywide, cloud-based data 'hub' designed to integrate state and local early childhood data. Our vision is to provide a holistic understanding of early care and learning access for Chicago's 180,000 children aged birth through 5. Positioned at the intersection of technology and social impact, CECIDS is poised to revolutionize the landscape by offering actionable insights for policymakers, program administrators, funders, advocates, and families. In alignment with the broader objectives of CELFE, CECIDS works tirelessly to transform the funding and equity paradigms in Early Childhood Education and Care (ECEC), ensuring that data-driven strategies lead the charge for positive change.

Position Summary
As a crucial member of our team, you'll be at the forefront of a dynamic and evolving project with the Chicago Early Childhood Integrated Data System (CECIDS). We operate in a startup environment, which means you will need to be agile, flexible, and ready to contribute where your technical skills can make the most impact. CECIDS is not just a project; it is a public good tool. Your role will involve maintaining the highest standards of integrity and ensuring our products meet the diverse needs of our stakeholders.

Essential Duties and Responsibilities
Data Analysis: Conduct thorough data analysis to derive actionable insights. Collaborate with the Conducts strategic analyses based on stakeholder needs to inform decisions.
Data Storytelling: Develop compelling narratives through data storytelling. Translate complex data findings into accessible and impactful insights. Translates findings into visualizations and pulls out key insights.
Communication: Work closely with the Project Director to communicate project updates and data-related information to the technical team and various stakeholder groups.
Collaboration: Engage in cross-functional collaboration with the technical team, including the Technical Lead and Data Scientist, and collaborate with external stakeholders, such as policymakers, community members, research partners, and funders.
Documentation: Document data analysis methods and findings in technical documents. Maintain comprehensive records of data-related activities.
Other Duties: Perform other duties as assigned
Minimum Required Qualifications (Civil Service)
N/A
Knowledge, Skills, and Abilities (KSAs) (Civil Service)
N/A
Specialty Factors (Civil Service)
Preferred Qualifications (Civil Service)
N/A
Minimum Required Qualifications (SPS)
Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
Analytical Skills: Proven experience in data analysis and interpretation. Familiarity with data visualization tools, such as PowerBi and Tableau.
Software Proficiency: Proficiency in data analysis tools and languages (e.g., Python, R, SAS). Familiarity with... For full info follow application link.

In accordance with applicable statutes and regulations, NIU is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, sex, religion, age, physical and mental disability, marital status, veteran status, sexual orientation, gender identity, gender expression, political affiliation, or any other factor unrelated to professional qualifications, and will comply with all applicable federal and state statutes, regulations and orders pertaining to nondiscrimination, equal opportunity and affirmative action.