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Weekend Data Analyst Jobs in Carol Stream, IL (NOW HIRING)

Required skills: • 5 years of experience as an integration analyst, healthcare data analyst or similar role • 3 years of hands-on experience working with HL7 (v2.x, v3) message structures and ...

Data Analyst

Itasca, IL · On-site

$82.73K - $124.09K/yr

Data Analyst ID 2026-7045 Position Type Regular Full-Time Introduction Join us at AIT, where we believe every day presents an opportunity to make a global impact! We're problem solvers, driven by our ...

We are seeking a results-driven Data Analyst to join our Plant Controlling team and spearhead our analytics and automation initiatives. This is not a traditional reporting role; you will be the ...

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

Senior Data Analyst Location: Chicago IL Duration: 03 - 06 months Contract. Job Requirements: * Required expertise: Power BI, SQL and Databricks. * Design, optimize, and maintain complex SQL queries ...

Data Analyst

Chicago, IL

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance ...

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 Position The newly established Chen Lab is based in the Department of Human Genetics at the University of Chicago. Our research strives to catalyze repeated traversal of the 'genomic ...

Data Analyst Location: Hybrid - Chicago, IL Duration: Long Term Start Date: Immediate * Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.

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 - 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 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 Analyst

Chicago, IL · On-site

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance ...

• 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 ...

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Weekend Data Analyst information

See Carol Stream, IL salary details

$35.2K

$85.5K

$140.7K

How much do weekend data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend data analyst in Carol Stream, IL is $85,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

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

Data Analyst

eTeam

Schaumburg, IL • On-site

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Job description

Integration Analyst

This role is part of our engineering organization and is responsible for translating business requirements into clear, actionable technical specifications. The integration Analyst serves as a liaison between business and technical teams, helping to simplify complex business needs into well-defined technical requirements. As an Integration Analyst, you will be part of a Scrum team, working closely with product managers, developers, and other technology and business stakeholders. You will leverage your analytical and technical expertise to drive effective solutions. A key responsibility of the role is to create and maintain integration mapping documentation, including HL7 and other data formats, defining accurate mappings between source and destination systems.

• Gather and analyze requirements for integrations between internal applications and external partner systems.

• Interpret and work with HL7 (v2.x, v3), FHIR, XML and other data/message structures.

• Create and maintain source-to-target data mapping documentation.

• Analyze source and target system data structures to identify gaps, inconsistencies, and data quality issues.

• Define transformation logic, field mappings and data rules.

• Collaborate with technical teams implementing the interfaces and transformations.

• Collaborate with the product manager, business and development teams to define user stories, acceptance criteria, and sprint goals.

• Participate in daily stand-ups, sprint reviews, and retrospectives to share progress, discuss challenges, and identify opportunities for optimization.

• Collaborate with QA analysts to validate data integrity and troubleshoot any issues related to tracking implementation or data discrepancies.

• Act as a subject matter expert in Quest HL7 standards and integration best practices.

Required skills:

• 5 years of experience as an integration analyst, healthcare data analyst or similar role

• 3 years of hands-on experience working with HL7 (v2.x, v3) message structures and standards (ADT, ORU, ORM etc)

• Hands-on experience with data mapping and transformations rules

• Strong understanding of healthcare workflows (especially patient registration, orders, results, billing workflows and message formats)

• Experience working with data formats such as HL7, XML, JSON, FHIR etc

• 2 years of experience working in Agile/Scrum environment

• Experience with Jira for managing stories and backlog

• Experience writing user stories and acceptance criteria

• Ability to closely work with businesses, product managers and developers to prioritize backlog items

• Ability to manage multiple priorities in a fast-paced environment.

Physical and Mental Requirements: Proven ability to sift through data, identify critical information, analyze, and make recommendations that influence successful product outcomes Self-driven, highly motivated individual Bachelor's degree in Science, Business, Computer Science, or a related field

Keyword: Skills: Java XML Technologies (XML| XSL| FO| JAXP| JAXB) Experience Required: 10 & Above