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

Harris Associates

Data Analyst, Data Ops

Chicago, IL

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

$71.20 - $124.50/hr

## Data Analyst IIApplylocations: Chicago, ILtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR-1065035Shirley Ryan AbilityLab is the global leader in physical medicine and ...

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$110 - $160/hr

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This ...

New

Shirley Ryan Ability Lab

Data Analyst II

Chicago, IL · On-site

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Sralab

Data Analyst II

Chicago, IL · On-site

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Resource Innovations

Data Analyst Lead

Chicago, IL

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Resource Innovations

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager ...

Adyen

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager ...

Adyen

Optimization Data Analyst

Chicago, IL · On-site

$120K - $156K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

CSG

Sales Data Analyst

Chicago, IL · On-site

Sales Data Analyst - CPG Retail Analytics (Walmart / National Accounts) Location: Remote A growing food manufacturing company is seeking a Sales Data Analyst to support its North American retail ...

EquipmentShare

Financial Data Analyst

Chicago, IL · On-site

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting applications for future Financial Data Analyst openings in the Chicago, IL (Southwest) area. At ...

Sentinel

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop enterprise data models, automate reporting processes, and deliver executive dashboards that provide ...

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Showing results 41-60

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Geneva, IL

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 Aug 22, 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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
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Weekend Data Analyst jobs near you

Data Analyst, Data Ops

Harris Associates

Chicago, IL

Full-time

Re-posted 12 days ago

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

Responsibilities:

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs 
  • Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
  • Execute high-impact, cross-functional data initiatives from requirements through delivery
  • Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
  • Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented data
  • Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
  • Ensure data processes align with operational risk, audit, and regulatory expectations
  • Participate in firm-wide initiatives such as system implementations and data integrations
  • Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
  • Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement 

Qualifications:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ years of experience in investment management, financial services, or a data-intensive operations environment
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
  • Advanced proficiency with SQL and Python
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
  • Demonstrated ability to analyze data issues, identify root causes, and drive crossfunctional resolution
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
  • Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
  • Demonstrated proficiency with Agile methodology and project management practices
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

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