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Weekend Data Analyst Jobs in Illinois (NOW HIRING)

MaximaTek

Data Analyst

Chicago, IL · On-site

Data Analyst We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional ...

New

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 ...

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 ...

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 · 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 ...

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 ...

Ask IT consulting

Data Analyst

Chicago, IL · On-site

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

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 ...

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 ...

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 ...

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 ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and insights that support business decision making. Also, you will interpret complex data and present ...

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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 7, 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 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.

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.
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 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,080 per year, or $38.5 per hour.

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About the Role: Data Analyst

We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.

Core Responsibilities

  1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
  2. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  3. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  4. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  5. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  6. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.

Qualifications

  1. Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
  2. Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
  3. Technical Skills (Required):
  • Strong proficiency in SQL for data querying and extraction.
  • Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
  • Solid understanding of relational databases and data warehouse concepts.
  • Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
  • Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
  1. Preferred Skills:
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
  • Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
  • Knowledge of statistical methods and basic predictive modeling techniques.

What We Offer

  1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  2. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  3. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Ready to Take the Next Step?

Email your updated resume to: yashwanth.phani@maximatek.com

Apply