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Part Time Power Bi Jobs in Chicago, IL (NOW HIRING)

BMO Capital Markets

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Experience with data visualization tools such as Power BI Salary : $122,400.00 - $228,000.00 Pay ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Deloitte

Manager - Cloud DevSecOps

Chicago, IL · On-site

... e.g., Power BI) a plus. * Understanding of regulatory/compliance requirements (e.g., ISO 27001 ... Must be within a reasonable commute and willing to work part-time in the Deloitte and/or client ...

Athletico

Physical Therapy Aide - Joliet (West), IL

Joliet, IL · On-site

$14.50 - $17.50/hr

About Us: At Athletico, we believe in the power of support - because a little help can lead to ... Benefits offered with this part-time position: * Bi-annual pay increase opportunity * Commuter: Pre ...

Athletico

Physical Therapy Aide - Lisle, IL

Lisle, IL · On-site

$14.75 - $17.75/hr

About Us: At Athletico, we believe in the power of support - because a little help can lead to ... Benefits offered with this part-time position: * Bi-annual pay increase opportunity * Commuter: Pre ...

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How much do part time power bi jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for part time power bi in Chicago, IL is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $52.02 and $69.33 per hour, depending on experience, location, and employer.

What is a part time Power BI?

A Part Time Power BI job involves using Microsoft's Power BI platform to analyze data, create reports, and develop dashboards, typically on a limited-hour basis. Professionals in this role help businesses gain insights from data while working flexible schedules. Responsibilities may include data modeling, visualization, and collaboration with teams to support decision-making. These roles are ideal for freelancers, remote workers, or those seeking supplemental income.

What types of projects and responsibilities can I expect as a part-time Power BI professional?

As a part-time Power BI specialist, you’ll typically work on designing dashboards, creating visual reports, and interpreting complex datasets to produce actionable insights for your team or clients. Your responsibilities may include meeting with stakeholders to understand their reporting requirements, cleaning and merging data from multiple sources, and delivering periodic business intelligence updates. You may collaborate closely with departments like sales, finance, or operations to tailor solutions that address their data needs. While part-time hours provide flexibility, you’ll still play a crucial role in driving data-informed decisions through clear and insightful reporting.

What are the key skills and qualifications needed to thrive in the part time Power BI position, and why are they important?

To thrive as a Part Time Power BI professional, you need a solid understanding of data analysis, visualization techniques, and experience using Microsoft Power BI for reporting. Familiarity with DAX, SQL, Excel, and sometimes a certification in Power BI or data visualization tools is highly beneficial. Strong communication, problem-solving skills, and the ability to manage multiple priorities efficiently help you stand out in this role. These abilities ensure you can effectively transform data into actionable insights and support business decision-making, even within a part-time schedule.

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Part Time Power Bi jobs near you
Infographic showing various Part Time Power Bi job openings in Chicago, IL as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $130,995 per year, or $63 per hour.

Principal Data Scientist

BMO Capital Markets

Chicago, IL • On-site

$122K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 6 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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