Data Analyst, OSD

Chicago Public Schools; United States; In loco; USD 70.000 - 95.000; Tempo pieno

Descrizione del lavoro

Chicago Public Schools (CPS) is seeking a Data Analyst for the Office for Students with Disabilities (OSD). The role focuses on using data to drive progress toward district priorities, supporting IEP-related data, and improving program outcomes across CPS schools.

The analyst will manipulate datasets, apply statistical methods, and create actionable reports for district leaders, ensuring data integrity and informed decision-making.

Competenze

• Bachelor's degree in a quantitative field is required.
• Master's degree in a quantitative field is preferred.

Mansioni

• Proficiently analyze and transform complex datasets from multiple sources using SAS, SQL, Python or R to extract insights.
• Apply statistical techniques to analyze distributions, correlations and trends to support decision-making.
• Create and customize reports, summarize metrics and produce visualizations for stakeholders.
• Present findings using data visualizations to aid understanding by department leaders.
• Collaborate with subject matter experts to identify additional data needs and ensure data quality across Offices.

Conoscenze

Analytical thinking

Attention to detail

Communication

Formazione

Bachelor's degree in statistics, economics, math or related

Master's degree in a quantitative field preferred

Strumenti

SAS

SQL

Python

R

Descrizione del lavoro

Chicago Public Schools (CPS) is a district on the rise, serving over 325,000 students in 500+ schools and employing over 45,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. Aligned with our transformed philosophy, we are steadfastly focused on ensuring that the District provides resources equitably to support every student, every school, and every community. Six core values guide the work we do every day for our students - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning. Each role in the district supports our vision that every student deserves a rigorous, joyful, and equitable learning experience.

The Office for Students with Disabilities (OSD) provides the tools and resources to ensure that all diverse learners receive a high-quality public education that prepares students for success. OSD is responsible for student evaluations, creating and monitoring Individualized Education Programs (IEPs), and working with schools, staff, and families to fulfill these plans toward greater student development and achievement. A critical area within the Office is to provide financial and operational support to schools, networks, and central office departments, including but not limited to the allocation of special education resources to CPS schools so that every child is provided with the services outlined by a student's IEP.

Job Summary

Reporting to the Data Manager, the Data Analyst will use data to drive progress toward District priorities and goals. The Data Analyst will support OSD units in the collection, analysis, reporting, and interpretation of data to facilitate informed decision-making, identify trends, ensure that Diverse Learner outcomes are monitored, and to support the continuous improvement of OSD programs and services. This is a full-time, exempt position that will be paid for time worked on a salary basis.

Responsibilities

• Proficiently analyze, manipulate and transform complex datasets from multiple sources using analysis tools such as SAS, SQL, Python, or R to extract meaningful insights
• Apply statistical techniques to analyze data distributions, correlations, and trends, contributing to the development of robust analytical models
• Create and customize reports tailored to departmental needs, ensuring clarity and relevance in communicating key performance indicators; summarize metrics and produce visualizations for key stakeholders
• Utilize data visualization techniques to present findings in an easily digestible and visually compelling manner, aiding departmental stakeholders in understanding complex datasets
• Identify trends and patterns in data, offering valuable insights to support strategic decision-making within the portfolio of departments
• Conduct root cause analysis to uncover the underlying factors contributing to observed trends, providing valuable context for decision-makers
• Follow established department and district-wide processes to ensure the quality, integrity and reliability of data used for analysis
• Evaluate data for structural integrity and consistency
• Compile, manipulate, and analyze data using appropriate statistical techniques
• Ensure data quality and integrity across Offices
• Collaborate with business and subject matter experts to identify additional data needs
• Participate in the District's Data Analyst User Group
• Other duties as assigned

Qualifications

Education Required

• Bachelor's degree from an accredited college or university is required; focus in statistics, business, economics, or a related field requiring quantitative coursework, preferred
• Master's degree in a quantitative field of study (e.g., data science), preferred

Experience Required

• Minimum of two (2) years of professional experience in a relevant field and a role requiring data analysis skills, including experience writing code with data analytic tools (SAS, R, SPSS, STATA, etc) is required. Up to 1 year of full-time, data-related internship experience may be considered against this requirement.
• Minimum of one (1) year of the above professional experience may be considered in combination with a master's degree in a quantitative field of study (E.g., data science, economics).
• One (1) or more years of experience as a business analyst or systems analyst, preferred

Other Requirements

• Must work with approved enterprise analytic toolsets (SAS or SQL)
• Adhere to a set of guiding principles for analytic practice as established by the Data Governance Council

Knowledge, Skills and Abilities

• Ability to use or learn SAS or SQL required
• Advanced knowledge of Excel and gSuite applications