ZipRecruiter

Log In

2

Part Time Python Data Analyst Jobs in Chicago, IL

BMO Capital Markets

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 ...

2040 Strategy Group

Be Seen First

Data Scientist / Applied Social Science Researcher

Evanston, IL · Remote

$75 - $100/hr

Working knowledge of other analysis tools (Python, SQL, Excel, GIS) * Experience building advanced interactive data visualizations (e.g., dashboards, web-based interfaces) * Experience in political ...

New

2040 Strategy Group

Be Seen First

Data Scientist / Applied Social Science Researcher

Evanston, IL · Remote

$75 - $100/hr

Working knowledge of other analysis tools (Python, SQL, Excel, GIS) * Experience building advanced interactive data visualizations (e.g., dashboards, web-based interfaces) * Experience in political ...

New

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 ...

previous page

Showing results 41-60

All JobsPython Data Analyst JobsPart Time Python Data Analyst JobsPart Time Python Data Analyst Jobs in Chicago, IL

Part Time Python Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Aug 11, 2026, the average yearly pay for part time python 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 the difference between Part Time Python Data Analyst vs Part Time R Data Analyst?

AspectPart Time Python Data AnalystPart Time R Data Analyst
Required SkillsPython, SQL, data visualization, basic statisticsR, SQL, data visualization, basic statistics
CertificationsPython certifications, data analysis coursesR certifications, data analysis courses
Work EnvironmentRemote or on-site, tech companies, consulting firmsRemote or on-site, research institutions, analytics firms
Industry UsageFinance, marketing, tech startupsHealthcare, academia, research organizations

Both roles involve data analysis with a focus on their respective programming languages. The main difference lies in the preferred tools and industry applications. Python Data Analysts often work in tech-driven environments, while R Data Analysts are common in research and healthcare sectors. Skills and certifications are similar, making them comparable roles for part-time data analysis positions.

What is a part time Python data analyst?

A Part Time Python Data Analyst is a professional who uses the Python programming language to analyze, interpret, and visualize data, typically while working less than full-time hours. They may clean and process datasets, generate reports, create data visualizations, and support business decision-making using Python libraries such as Pandas, NumPy, and Matplotlib. The part-time aspect allows flexibility, making this role suitable for students, freelancers, or individuals seeking work-life balance. These analysts often collaborate with teams to deliver actionable insights based on data trends and patterns.

What are some common challenges faced by part time Python data analysts, and how can they be addressed?

Part-time Python Data Analysts often face the challenge of managing their workload within limited hours, which can make it difficult to keep up with rapidly changing project requirements or tight deadlines. Effective time management and clear communication with team members are crucial to ensure priorities are understood and tasks are completed efficiently. Additionally, staying updated on the latest Python libraries and data analysis tools can help streamline workflows and improve productivity. Collaborating closely with full-time colleagues and leveraging project management tools can also help bridge gaps in team coordination.

What are the key skills and qualifications needed to thrive as a part time Python data analyst?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or matplotlib), SQL databases, and experience using data analysis libraries like pandas and NumPy are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data and present insights clearly to stakeholders. These skills are crucial for translating complex data into actionable information, ensuring informed decision-making in a flexible, part-time role.
What are the most commonly searched types of Python Data Analyst jobs in Chicago, IL? The most popular types of Python Data Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Part Time Python Data Analyst jobs? Cities near Chicago, IL with the most Part Time Python Data Analyst job openings:
Part Time Python Data Analyst jobs near you

Principal Data Scientist

BMO Capital Markets

Chicago, IL • On-site

$122K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 25 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.

Apply