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

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Finance and IT More about this job > Description Position Summary: NAR is seeking a Data Analyst to help deliver data-driven ...

New

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 ...

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 ...

New

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

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 ...

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 ...

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

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 ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit. Handle complex data projects and acts as a lead for other Data Analysts. What will your job entail? Job ...

Position Summary The Data Analyst is responsible for analytic data needs of the business unit. Handle complex data projects and acts as a lead for other Data Analysts. What will your job entail? Job ...

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 ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit. Handle complex data projects and acts as a lead for other Data Analysts. What will your job entail? Job ...

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 ...

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 ...

* Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. * Supports the development and distribution of daily, monthly, and quarterly reports to ...

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Showing results 1-20

Weekend Data Analyst information

See Geneva, IL salary details

$33.2K

$80.7K

$132.7K

How much do weekend data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for weekend data analyst in Geneva, IL is $80,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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 Geneva, IL? The most popular types of Data Analyst jobs in Geneva, IL are:
What cities near Geneva, IL are hiring for Weekend Data Analyst jobs? Cities near Geneva, IL with the most Weekend Data Analyst job openings:

$75K - $95K/yr

Other

Medical, Dental, Vision

Posted 3 days ago

New


Job description

nar.realtor
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JOIN OUR TEAM >> Data Analyst
Data Analyst
Summary
Title: Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Finance and IT
More about this job >
Description

Position Summary:

NAR is seeking a Data Analyst to help deliver data-driven insights, analytics solutions, and AI-enabled products that support decision-making across the organization. This role focuses on working directly with business stakeholders to understand analytical requirements, transform complex and fragmented data into actionable information, and build scalable solutions that provide measurable business value. 

The Data Analyst will design and implement data preparation processes, perform advanced analysis, and develop applications and visualizations. They will make data and analysis accessible to non-technical audiences. The role works extensively within the Microsoft Azure and Microsoft Fabric ecosystems and involves close collaboration with data scientists, and business stakeholders in different parts of the organization. 

The successful candidate will contribute to data quality initiatives, AI-assisted analytics workflows, and the development of new solutions that leverage both traditional analytics and AI technologies. The ideal candidate is comfortable working across analytics, visualization, and application development disciplines, with a practical focus on delivering solutions that are reliable, scalable, and widely adopted by the business. 

Duties and Responsibilities:

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions 

  • Extract, transform, clean, and validate data from multiple internal and external sources to support analytics, reporting, and operational decision-making 

  • Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting 

  • Create dashboards that effectively communicate insights to business audiences using technologies such as Power BI, Streamlit, Django, and other frameworks 

  • Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects 

  • Participate in source control, deployment, and project management processes using tools such as Git and Jira 

  • Other duties, as assigned 


Qualifications:

  • Bachelor's degree in Computer Science or a closely related field. 

  • Minimum of 2+ years of professional experience in data analytics or a related technical role. 

  • Strong proficiency in SQL, including experience writing complex queries. 

  • Strong Python development skills, including working with notebooks, expertise with data analysis libraries (e.g., Pandas, NumPy, SciPy), and use of visualization libraries (e.g., Plotly, Matplotlib). 

  • Experience building dashboards using tools such as Power BI, Streamlit, or Django. 

  • Experience working with cloud-based platforms and services; Microsoft Azure and Microsoft Fabric experience preferred. 

  • Use of Git and use of project management systems such as Jira. 

  • Good grasp of basic statistical concepts. 

  • Ability to communicate complex technical concepts clearly and effectively to non-technical audiences. 

  • Ability to work independently with minimal supervision while managing multiple priorities and deadlines. 

  • Experience with AI, such as the use of AI-code generation, is a positive. 

  • Advanced Microsoft Excel skills for data analysis and reporting are preferred 


Compensation: $75,000 - $95,000 depending on office location

NAR provides comprehensive benefits including health/dental/vision insurance.
NAR is on a hybrid schedule and in the office 3 days a week.


Organizational Overview:

The National Association of REALTORS (NAR) is a team of professionals dedicated to providing world-class service to approximately 1.5 million REALTORS working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of real estate. As in every industry, our members' value proposition is constantly being challenged by innovation.
It is our mission to empower REALTORS as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. 

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