2

Part Time Data Science Jobs in Illinois (NOW HIRING)

Student Intern

Downers Grove, IL · On-site

$20 - $25/hr

Currently pursuing a degree in Statistics, Data Science, Analytics, Economics, or a related field ... working part-time during the academic school year * Flexible scheduling may be available to ...

Some benefits will not be available for part-time or part-time under 20 hours employees (ex: health ... and data use Per Load Hour Compensation Schedule 2025 -2026 - $1,373 2026 -2027 - $1,414 The ...

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction ...

Showing results 41-60

Part Time Data Science information

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
What are the most commonly searched types of Data Science jobs in Illinois? The most popular types of Data Science jobs in Illinois are:
What cities in Illinois are hiring for Part Time Data Science jobs? Cities in Illinois with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Business Intelligence Analyst

Alliant Credit Union

Chicago, IL • Hybrid

$76K - $119K/yr

Full-time, Part-time

Re-posted 21 days ago


Job description

In this hybrid role based at our Chicago headquarters, you'll help shape how leaders across Alliant use data to make smarter decisions, uncover opportunities, and improve member outcomes. As a strategic analytics partner, you'll combine technical expertise with business insight to translate complex data into clear, actionable recommendations that drive results across the organization.

Working closely with business leaders and cross-functional teams, you'll leverage data to identify trends, measure performance, size opportunities, and develop compelling dashboards and visualizations that tell a meaningful story. This role goes beyond reporting; you'll help stakeholders understand what the data means, why it matters, and where to focus next.

You'll thrive in this role if you're energized by solving business problems, influencing decisions through analytics, and partnering with stakeholders to create measurable impact for our members and the business.

Essential Responsibilities

  • Analyze complex business and operational data to identify trends, opportunities, and performance drivers that support strategic decision-making and improve business outcomes
  • Design, develop, and maintain dashboards, reports, and data visualizations that provide stakeholders with clear, actionable insights into key performance metrics
  • Partner with business leaders and cross-functional teams to understand objectives, define success measures, and translate data into meaningful recommendations that influence decisions
  • Transform complex analytical findings into compelling stories that can be easily understood by technical and non-technical audiences, helping leaders understand what is happening, why it matters, and where to focus next
  • Integrate, validate, and govern data from multiple sources, ensuring the accuracy, consistency, and reliability of reporting and analytics solutions.
  • Support business intelligence initiatives from concept to delivery, including requirements gathering, analytical design, data pipeline development, and measuring the impact of business decisions through data-driven insights.

What You'll Learn

  • How high-performing organizations use data to drive strategy and prioritize opportunities.
  • How to translate analytics into compelling stories that influence leaders and business outcomes.
  • How to build trusted partnerships with stakeholders across the enterprise.
  • How to measure impact, uncover opportunities, and turn insights into action.

Education & Years of Experience

  • Minimum - Graduate Degree in Business, Business Analytics, Data Science, Statistics, Mathematics, Computer Science or Related
  • Minimum - 1 Year Business Intelligence, Financial Services, Data Analysis or Related experience

In Lieu of Education

  • 3 Years Business Intelligence, Data Analysis including a Bachelor's Degree or 7 years without a degree

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $76,600.00 to $119,100.00‎ 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.