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Weekend Data Analyst Jobs in Illinois (NOW HIRING)

Apex Informatics

Data Analyst

Chicago, IL · On-site

To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical ...

Arsenault Inc

Data Analyst

Burbank, IL · Remote

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting project teams in collecting, analyzing and visualizing data to uncover key insights to report back to ...

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation . The ideal candidate will work closely with business stakeholders, data ...

National Association of REALTORS

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Strategic Business Innovation & Technology More about this job > Description Position Summary: NAR is seeking a Data Analyst to help ...

Benda Infotech

Data Analyst

Chicago, IL

$80K - $95K/yr

The Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the Bank. Key ...

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

Your Role The Data Analyst at Inizio Evoke plays a critical role in uncovering insights that build measurable growth. You will go beyond standard reporting and dashboard development. You will solve ...

Saicon Consultants Inc.

Data Analyst

Rosemont, IL · On-site

Aladdin Data Integration Flows: * Analyze and support inbound/outbound data flows to/from Aladdin. * Understand integrations with trading platforms, custodian systems, and market data providers ...

Inizio Evoke

Data Analyst

Chicago, IL

Your Role The Data Analyst at Inizio Evoke plays a critical role in uncovering insights that build measurable growth. You will go beyond standard reporting and dashboard development. You will solve ...

Allcon, Inc.

Data Analyst

Chicago, IL

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Allcon, Inc.

Data Analyst

Chicago, IL · On-site

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Guidehouse

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

Provide data analysis, management, and reporting support for enterprise systems and mission-critical programs. * Design, develop, and maintain data models, dashboards, and analytical solutions to ...

Guidehouse

Data Analyst

Fairview Heights, IL · On-site

$77K - $129K/yr

Provide data analysis, management, and reporting support for enterprise systems and mission-critical programs. * Design, develop, and maintain data models, dashboards, and analytical solutions to ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Ask IT consulting

Data Analyst

Chicago, IL

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or Chicago, IL * Data Warehouse Experience 5 to 7 years * SQL used in a technical setting minimum 5 years

Guidehouse

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

Provide data analysis, management, and reporting support for enterprise systems and mission-critical programs. * Design, develop, and maintain data models, dashboards, and analytical solutions to ...

Navigant Consulting

Data Analyst

Fairview Heights, IL · On-site

$77K - $129K/yr

Provide data analysis, management, and reporting support for enterprise systems and mission-critical programs. * Design, develop, and maintain data models, dashboards, and analytical solutions to ...

Inspire11

Data Analyst

Chicago, IL · On-site

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Illinois

Weekend Data Analyst information

See Illinois salary details

$32.9K

$80.1K

$131.8K

How much do weekend data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for weekend data analyst in Illinois is $80,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

What are the key skills and qualifications needed to thrive as a weekend data analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Illinois?

The most popular types of Data Analyst jobs in Illinois are:

What are popular job titles related to Weekend Data Analyst jobs in Illinois?

For Weekend Data Analyst jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Illinois look for?

The top searched job categories for Weekend Data Analyst jobs in Illinois are:

What cities in Illinois are hiring for Weekend Data Analyst jobs?

Cities in Illinois with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Illinois as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,080 per year, or $38.5 per hour.

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

Re-posted 28 days ago

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

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