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Weekend Data Analyst Jobs in Crystal Lake, IL (NOW HIRING)

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 ...

Socket.dev

Data Analyst

Hoffman Estates, IL · On-site

$75 - $95/hr

About the Job Opportunity The Data Analyst supports PartsSource's growth and operational excellence by transforming raw data into actionable insights. Working with business stakeholders across sales ...

New

PartsSource

Data Analyst

Hoffman Estates, IL

About the Job Opportunity The Data Analyst supports PartsSource's growth and operational excellence by transforming raw data into actionable insights. Working with business stakeholders across sales ...

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

About the Job Opportunity The Data Analyst supports PartsSource's growth and operational excellence by transforming raw data into actionable insights. Working with business stakeholders across sales ...

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 ...

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 ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · On-site

$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 ...

ULINE

Data Analyst

Waukegan, IL · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

CYNET SYSTEMS

Senior Data Analyst

Lake Zurich, IL · On-site

$38 - $43/hr

Build Reporting Models that reduce time spent analyzing and building, increases group efficiency and ensures data accuracy. * Identify trends/anomalies in the data collected to understand the source ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Crystal Lake, IL

Weekend Data Analyst information

See Crystal Lake, IL salary details

$33K

$80.1K

$131.9K

How much do weekend data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for weekend data analyst in Crystal Lake, IL is $80,142.00, 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 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.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Crystal Lake, IL?

The most popular types of Data Analyst jobs in Crystal Lake, IL are:

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For Weekend Data Analyst jobs in Crystal Lake, IL, the most frequently searched job titles are:

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What cities near Crystal Lake, IL are hiring for Weekend Data Analyst jobs?

Cities near Crystal Lake, IL with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you

Data Analyst

Spruce Infotech

Lake Forest, IL • On-site

Contractor

Re-posted 25 days ago

Job description

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 engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

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