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Part Time Data Analyst Jobs in Elgin, IL (NOW HIRING)

Lead Product Analyst

Chicago, IL · Hybrid

$92K - $144K/yr

Lead portfolio-level reporting and performance reviews, translating data into actionable ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Provides data support for business planning and other management requests. * Provides financial ... Benefit Statement For full time and part time employees who work 20 or more hours per week we offer ...

Showing results 41-60

Part Time Data Analyst information

See Elgin, IL salary details

$33.6K

$81.7K

$134.4K

How much do part time data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time data analyst in Elgin, IL is $81,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.

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

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

What are popular job titles related to Part Time Data Analyst jobs in Elgin, IL?

For Part Time Data Analyst jobs in Elgin, IL, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Elgin, IL look for?

The top searched job categories for Part Time Data Analyst jobs in Elgin, IL are:

What cities near Elgin, IL are hiring for Part Time Data Analyst jobs?

Cities near Elgin, IL with the most Part Time Data Analyst job openings:

Infographic showing various Part Time Data Analyst job openings in Elgin, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,691 per year, or $39.3 per hour.

Senior Credit Risk Analyst

Alliant Credit Union

Chicago, IL • Hybrid

$84K - $131K/yr

Full-time, Part-time

Re-posted 13 days ago


Job description

In this hybrid role based at our Chicago Headquarters, you will develop and review credit policies and strategies as well as data and analytical frameworks for loan origination and loss forecasting. Review relevant data to identify the quantitative and qualitative factors driving the credit risk for consumer & mortgage loans. Perform evaluation, implementation and monitoring of third-party and in-house scoring solutions. Perform model and strategy testing and assist with audit/regulatory requests. Work cross-functionally with other teams such as Advanced Analytics, Lending, Loan Servicing, Marketing, Finance, and Data Service teams, preparing underwriting and account management presentations to management for review and implementation.

Essential Responsibilities

  • Analyze origination risk factors and recommend/implement improvements in areas such as underwriting criteria, lending policies and standards, and loan product pricing to increase loan volumes within the risk appetite.
  • Review and monitor credit risk for credit cards, and recommend/implement line management, pricing and authorization strategies.
  • Prepare data for third-party quarterly mortgage & consumer loan portfolio performance analysis.
  • Provide support and rule recommendations for loan origination system implementation and maintenance.
  • Provide data and analytics support to assess risk with respect to future new and enhanced lending products as well as potential loan trading transactions.
  • Assess analytics including but not limited to economic capital analysis, credit loss modeling and mitigation, CECL implementation.
  • Query the data warehouse and other databases with tools such as SAP Business Objects / Microsoft SQL Server Management Studio to extract, summarize, and save relevant data.
  • Drive improvements by utilizing statistical techniques in test set-up to more accurately assess effectiveness of proposed risk strategies.
  • Work with other teams such as Advanced Analytics to design and build predictive models in tools such as Python/R/SAS.
  • Evaluate, implement, and monitor third-party scoring solutions.
  • Prepare supporting information and present findings to management.
  • Generate periodic reports for audit and regulatory compliance and assist with ad hoc requests.
  • Help formulate and revise credit policies and procedures to address new regulations.

Education & Years of Experience

  • Minimum- 4 Year Bachelors Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Preferred - Graduate Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Minimum - 3 Years Experience in credit risk analytics within financial services

In Lieu of Education

  • 5 Years Experience in credit risk analytics within financial services

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $84,200.00 to $131,000.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.