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

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Alliant Credit Union

Product Analyst

Chicago, IL · On-site +1

$63K - $98K/yr

The Product Analyst helps shape how members experience Alliant every day, by using data to ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

KACE

International Mail Analyst

Chicago, IL · On-site

$33/hr

Public Trust Salary: $33/HR Part time Schedule: Part-Time Hours Monday, Tuesday, Wednesday, and ... Conducts evaluations of Customs data to identify instances of non-compliance. * Conducts triage of ...

KACE

International Mail Analyst

Chicago, IL

$33/hr

Public Trust Salary: $33/HR Part time Schedule: Part-Time Hours Monday, Tuesday, Wednesday, and ... Conducts evaluations of Customs data to identify instances of non-compliance. * Conducts triage of ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Students gain advanced skills in data analytics. multivariate analysis, machine learning, and ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Chicago, IL

Part Time Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Aug 8, 2026, the average yearly pay for part time data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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 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 staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

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.
More about Part Time Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Chicago, IL? The most popular types of Data Analyst jobs in Chicago, IL are:
What are popular job titles related to Part Time Data Analyst jobs in Chicago, IL? For Part Time Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Chicago, IL look for? The top searched job categories for Part Time Data Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Part Time Data Analyst jobs? Cities near Chicago, IL with the most Part Time Data Analyst job openings:
Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Principal Data Scientist

BMO Capital Markets

Chicago, IL

$122K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 22 days ago

Job description

Application Deadline:

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

The role is hybrid based in our Chicago office.

Job Description

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
  • Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviours that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:

Advanced level of proficiency:

  • Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
  • 5+ years of data science experience.
  • In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
  • Data visualization and polished communication skills.
  • Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
  • Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
  • Trust, bias and ethics.
  • Collaboration & team skills; with a focus on cross-group collaboration.
  • Able to manage ambiguity.
  • Data driven decision making.
  • Experience with GenAI LLM models
  • Experience with MLOps, building workflows for model retraining, monitoring and deploying
  • Experience with ML frameworks such as TensorFlow, PyTorch
  • Experience with cloud-based data platforms such as AWS or Azure
  • Experience with data visualization tools such as Power BI

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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