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Weekend Data Jobs in Chicago, IL (NOW HIRING)

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 ...

Data Warehouse Experience 5 to 7 years * SQL used in a technical setting minimum 5 years * Experience in modeling transactional databases and data warehouses using tools like Erwin and in performing ...

... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without sponsorship Certifications (Preferred) CompTIA Server+ or equivalent hardware certification Data center or ...

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 ...

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 ...

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 ...

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 ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position: * The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

Data Engineer, Data & AI Platforms

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Data & AI Platforms Zeno Group is hiring its first dedicated data engineer. You'll set the technical direction as we rebuild our data platform around AWS, design the data layer our AI ...

Data Engineer, Data & AI Platforms

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Data & AI Platforms Zeno Group is hiring its first dedicated data engineer. You'll set the technical direction as we rebuild our data platform around AWS, design the data layer our AI ...

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 ...

Data Analyst

Chicago, IL · On-site

$18/hr

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing multiple systems. They then make recommendations to resolve exceptions and help us define process ...

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 ...

Showing results 21-40

Weekend Data information

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Chicago, IL?

The most popular types of Data jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Weekend Data jobs?

Cities near Chicago, IL with the most Weekend Data job openings:

Infographic showing various Weekend Data job openings in Chicago, IL as of August 2026, with employment types broken down into 33% Full Time, 34% Contract, and 33% Nights. Highlights an 100% In-person job distribution.

Full-time

Re-posted 27 days ago


Job description

SENIOR DATA ANALYST
CHIGACO,IL -NO REMOTE
Are you ready to turn data into decisions that drive real impact? Join a forward-thinking team in the Manufacturing / ERP Analytics space and take your career to the next level! We're looking for a Senior
Data Analyst who thrives on transforming complex data into actionable insights and visually stunning dashboards.
Why You'll Love This Role
  • Work with cutting-edge tools like Power BI and SSAS Tabular Models to deliver insights that shape the business.
  • Partner with business leaders and stakeholders to turn data into smart, actionable decisions.
  • Dive deep into ERP data (JD Edwards preferred) and uncover trends, opportunities, and risks that matter.
  • Collaborate with a passionate team that values your expertise and ideas.

What You'll Do
  • Build, maintain, and optimize dynamic Power BI dashboards and reports.
  • Translate complex business requirements into scalable, high-impact data solutions.
  • Perform advanced analysis to uncover trends and inform strategic decisions.
  • Ensure data integrity, accuracy, and consistency across reporting systems.
  • Enhance data warehouse and reporting capabilities alongside IT and cross-functional teams.

Qualifications
What We're Looking For
  1. Bachelor's degree in data Analytics, Information Systems, Computer Science, or related field.
  2. 5-7 years of experience with Power BI in an Analysis Services Model environment.
  3. Strong ERP knowledge - JD Edwards highly preferred.
  4. Proficiency in SQL, data warehousing, and BI best practices.
  5. Exceptional problem-solving and communication skills.
  6. A collaborative mindset and the drive to make an impact.

Why is This a Great Opportunity
Why You Should Apply
  • Competitive salary tailored to your experience
  • Comprehensive benefits package
  • Professional development and growth opportunities
  • A collaborative environment where your insights directly shape the business