1

Weekend Data Analyst Jobs in Morris, IL (NOW HIRING)

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics ...

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business needs into clear functional specifications, source-to-target ...

Work Now Staffing is looking to hire Data Analysts (Logistics, Bulk Mail, & Postal Optimization Specialist) for our Romeoville client. Shift: 1st Shift - 8:00am - 5:30pm and 9:00am - 5:30pm Pay: $21 ...

Senior Analyst, Data and Analytics

Campus, IL · On-site

$83K - $105K/yr

Data and Network Management # of Open Positions: 2 Faculty/Service - Department: CRM Project Campus ... Data Analysis and Reporting: Collects, analyzes and interprets quantitative and qualitative data ...

Additional pay (e.g., shift, oncall, or weekend differentials) and benefits may apply.Annual pay ... Systems and Technology- Ensure accuracy of data recording and tracking in applicable clinical ...

New

This is a 1-year contract assignment.(W-2) Your will help collect, organizing, and analyzing data to support business decision-making. Support special projects related to demand modeling, locational ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... weekend work. Once the initial one-on-one training is complete, this job provides some scheduling ...

next page

Showing results 1-20

Weekend Data Analyst information

See Morris, IL salary details

$33K

$80.2K

$131.9K

How much do weekend data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for weekend data analyst in Morris, IL is $80,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 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 are Weekend Data Analysts?

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.

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, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 are the most commonly searched types of Data Analyst jobs in Morris, IL? The most popular types of Data Analyst jobs in Morris, IL are:
What job categories do people searching Weekend Data Analyst jobs in Morris, IL look for? The top searched job categories for Weekend Data Analyst jobs in Morris, IL are:
What cities near Morris, IL are hiring for Weekend Data Analyst jobs? Cities near Morris, IL with the most Weekend Data Analyst job openings:

Other

Re-posted 22 days ago


Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to transform raw data into actionable intelligence.

Key Responsibilities

  • Collect, clean, and preprocess large datasets from various sources.
  • Restructure and organize data to ensure consistency and usability.
  • Perform feature engineering to enhance data models for machine learning 
    applications.
  • Collaborate with data scientists and engineers to support ongoing projects.
  • Assist in developing and optimizing data pipelines.
  • Generate reports and visualizations to communicate insights effectively.

Qualifications

  • Currently pursuing or recently completed a degree in Data Science, Computer  Science, Statistics, or a related field.
  • Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
  • Familiarity with SQL and database management.
  • Basic understanding of machine learning concepts and feature engineering.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and in a team environment.

Preferred Qualifications

  • Experience with implementing machine learning in industry is a plus.
  • Knowledge of lithium-ion battery technology is good to have.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of data visualization tools such as Tableau or Matplotlib.
  • Prior experience with big data frameworks (e.g., Spark) is a plus.

The US base salary range for this full-time position is $65,000.00 - $70,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.