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Part Time Weekend Data Analyst Jobs in Chicago, IL

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/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

$88K - $111K/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 ...

Risk Analyst/Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

RWE Supply & Trading Americas, LLC To start as soon as possible, full time / part time, permanent About the role As a Risk Market Data Analyst at RWEST, you will be responsible for the daily ...

... Data will work closely with the Grading Practice and Policy Coordinators in the planning ... This Chicago residency requirement does not apply to part-time/temporary positions, however, all ...

Systems Analyst

Chicago, IL · On-site

$66K - $87K/yr

... Data will work closely with the Grading Practice and Policy Coordinators in the planning ... This Chicago residency requirement does not apply to part-time/temporary positions, however, all ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour Corporate Headquarters 12575 Uline Drive ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour 2200 S. Lakeside Drive, Waukegan, IL 60085 ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

Credit Analyst - Part-Time Pay from $29 to $31 per hour Corporate Headquarters 12575 Uline Drive ... Analyze financial data, prepare reports, and present insights to leadership to support business ...

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Part Time Weekend Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Jul 26, 2026, the average yearly pay for part time weekend data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

Can you be a data analyst as a side hustle?

A part time weekend data analyst can often take on side projects or freelance work outside their main job, especially if they have skills in data analysis tools like Excel, SQL, or Python. Managing a side hustle requires good time management and ensuring it does not conflict with their primary employment or contractual obligations.

What are some common challenges faced by part-time weekend data analysts, and how can they be addressed?

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

What are part time weekend data analysts?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

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

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

Do data analysts work on weekends?

Data analysts, including part-time weekend roles, often work during regular business hours, but some positions may require weekend work to meet project deadlines or support 24/7 operations. Weekend work depends on the employer, industry, and specific job responsibilities, and part-time roles may have flexible schedules.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst, including part-time weekend positions, involves skills like critical thinking and communication that AI currently cannot fully replicate.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis tools, programming, and statistical knowledge, which can be learned through online courses or certifications regardless of age.
What are the most commonly searched types of Weekend Data Analyst jobs in Chicago, IL? The most popular types of Weekend Data Analyst jobs in Chicago, IL are:
What are popular job titles related to Part Time Weekend Data Analyst jobs in Chicago, IL? For Part Time Weekend Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Weekend Data Analyst jobs in Chicago, IL look for? The top searched job categories for Part Time Weekend Data Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Part Time Weekend Data Analyst jobs? Cities near Chicago, IL with the most Part Time Weekend Data Analyst job openings:
Infographic showing various Part Time Weekend Data Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.
Senior Data Analyst

$76K - $100K/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.