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Part Time Data Analyst Jobs in Glenview, IL (NOW HIRING)

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Data Entry Assistant

Chicago, IL · Remote

$15 - $20/hr

... OPS part-time data entry assistant to populate a breast cancer database. Under the supervision of the Principal Investigator, and with direction from the Director of Analytic Services, this ...

Data Entry Specialist / Data Analyst

Chicago, IL · Remote

$17.50 - $23.50/hr

About the job Data Entry Specialist / Data Analyst We are Legitimate Work From Home Data Entry Jobs ... Earn Part time income from the comfort of your home. This work allows you to: Work on your time ...

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Part Time Data Analyst information

See Glenview, IL salary details

$33.2K

$80.6K

$132.7K

How much do part time data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for part time data analyst in Glenview, IL is $80,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,600.00 per year, depending on experience, location, and employer.

What Does a Part Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a Part Time Data Analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

What are the most commonly searched types of Data Analyst jobs in Glenview, IL? The most popular types of Data Analyst jobs in Glenview, IL are:
What are popular job titles related to Part Time Data Analyst jobs in Glenview, IL? For Part Time Data Analyst jobs in Glenview, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Glenview, IL look for? The top searched job categories for Part Time Data Analyst jobs in Glenview, IL are:
What cities near Glenview, IL are hiring for Part Time Data Analyst jobs? Cities near Glenview, IL with the most Part Time Data Analyst job openings:
Senior Data Analyst

$76K - $100.50K/yr

Full-time, Part-time

Posted 4 days ago


Job description

Chicago Public Schools (CPS) is a district on the rise, serving over 320,000 students in 500+ schools and employing over 44,000 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. In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning.
The Office of Information and Technology Services (ITS) works to build the capacity of schools to use information and technology, maintain network infrastructure, security standards, and support other departments to meet district goals. ITS provides innovative technology solutions that improve the quality of education for students, reduce the administrative burden on educators, facilitate parent interaction, increase community engagement, and support CPS' mission of transparency by focusing on the ease and equity of access to information.
Job Summary:
The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager, Master Data Management, the Senior Data Analyst will collaborate with diverse teams across the district to provide data-driven recommendations, contribute to the development of AI/ML models, and support the district's mission to provide a world-class education for every child. This is a full-time, exempt position that will be paid for time worked on a salary basis.
This position will be held accountable for the following responsibilities:
• Collect, clean, and organize large datasets from various sources (student information systems, assessments, operational data, etc.).
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data; Apply statistical methods and data mining techniques to uncover meaningful insights.
• Create compelling visualizations and dashboards using Power BI to effectively communicate findings to stakeholders. Fulfill data requests by researching, preparing, and delivering data.
• Translate complex data analyses into clear and concise reports that inform decision-making.
• Collaborate with data scientists on the development and implementation of AI/ML models. Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and validating model performance.
• Adhere to data governance policies and procedures established by the MDM & Data/AI team.
• Ensure data quality and integrity through rigorous data cleaning and validation processes.
• Collaborate with cross-functional teams (e.g., academics, operations, finance) to understand their data needs and provide data-driven recommendations. Effectively communicate technical findings to both technical and non-technical audiences.
• Stay current with the latest advancements in data analysis techniques and tools.
• Other duties as assigned
Education Required:
• Bachelor's degree from an accredited college or university is required.
Experience Required:
• A minimum of five (5) years of experience as a Data Analyst or similar role including the following is required:
• Experience with data visualization tools (e.g., Power BI, Tableau)
Knowledge, Skills, and Abilities:
• Strong understanding of statistical concepts and data analysis techniques and tools.
• Proficiency in SQL and at least one programming language (e.g., Python, R).
• Familiarity with data warehousing and ETL processes.
• Strong analytical and problem-solving abilities.
• Ability to work independently and as part of a team.
• Ability to manage multiple projects and prioritize tasks effectively.
• Ability to uncover patterns and trends.
• Excellent verbal and written communication skills, including presentations, listening, and writing.
• Ability to build collaborative relationships with a variety of constituent groups, including external partners, to ensure the entire system operates in the most effective manner possible to support schools and principals.
• Ability to define problems, analyze data, and outline valid conclusions and action steps.
Conditions of Employment
As a condition of employment with the Chicago Public Schools (CPS), employees are required to:
• Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.