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Python Data Analyst Jobs in Chicago, IL (NOW HIRING)

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... Python / PySpark : Skilled in data processing using Databricks or Jupyter Notebooks. * SQL

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.

Senior Data Analyst

Chicago, IL · Hybrid

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... Experience with Coding language such as Python or R. Experience in underwriting analysis. Ryan ...

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... Experience with Coding language such as Python or R. Experience in underwriting analysis. Ryan ...

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... such as Python or R. • Experience in underwriting analysis. Ryan Specialty is an Equal ...

Data Analyst

Chicago, IL · On-site

$74K - $93K/yr

Position Summary The Data Analyst is responsible for analytic data needs of the business unit ... such as Python or R. • Experience in underwriting analysis. Ryan Specialty is an Equal ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.

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Python Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do python data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for 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 does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the 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 job categories do people searching Python Data Analyst jobs in Chicago, IL look for? The top searched job categories for Python Data Analyst jobs in Chicago, IL are:
Infographic showing various Python Data Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 2% Internship, 78% Full Time, 4% Part Time, and 16% Contract. Highlights an 78% In-person, 13% Hybrid, and 9% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Full-time

Posted 29 days ago


Job description

About Inizio Evoke

In the journey of life, your career should make a difference.

We believe everyone has a purpose at Evoke, and it's everyone's role to make health more human™. When you join Evoke, you become part of a dynamic global healthcare platform-, agile and innovative. Organized by global practice areas and specialty agencies, we provide access to a uniquely comprehensive offering to solve the most complex of challenges in today's healthcare market.

Your Role

The Data Analyst at Inizio Evoke plays a critical role in uncovering insights that build measurable growth. You will go beyond standard reporting and dashboard development. You will solve complex business questions, identify patterns across fragmented datasets, and develop scalable analytical and modeling approaches that influence marketing, engagement, and growth strategies.

You are analytical, technically fluent,, and energized by solving business problems through creative data exploration. You are comfortable navigating complex datasets, integrating multiple data sources, applying AI tools to support your work, automating workflows, and developing relevant insights that help teams move faster. You must also be experienced in presenting analysis to clients.

You Will

• Independently — and with our team — investigate complex business problems using a combination of structured and unstructured datasets and analytical tools

• Identify, collect, scrape, store, pre-process, manipulate, merge, model, and analyze large datasets from multiple internal and external sources

• Develop scalable analytical workflows and automate processes that improve the efficiency, repeatability, and speed of insight delivery

• Use Python and modern AI-assisted workflows to rapidly prototype analyses

• Identify meaningful trends, anomalies, and strategic opportunities across healthcare and marketing datasets

• Translate complex analyses into clear, story-driven insights and data visualizations tailored to all partners

• Collaborate with strategists, creative, account, engagement managers, other analysts, and leadership teams

• Operate with ownership, curiosity, and accountability

Strategic Focus Areas

• HCP and patient segmentation

• Regional opportunity mapping

• Referral flow analysis

• Healthcare ecosystem analysis

• Behavioral and engagement analytics

• Marketing mix modeling (MMM) and media investment optimization

• Diminishing return / response curve modeling for investment levels and channel mix efficiency

• Competitive intelligence and marketplace assessment

• Predictive and exploratory modeling

You Have
Experience

• 2+ years of experience in analytics, statistical modeling, data strategy, marketing analytics, healthcare analytics, consulting analytics, or related quantitative fields

Technical Skills

• Proficiency in Python for data analysis, and automation

• Database and cloud platform fluency for data management (SQL, AWS)

• Experience working with large and different datasets

• Experience building scalable analytical workflows and automating repetitive processes

Data Familiarity

• Search, social, longitudinal, geographic, digital behavior, media, web traffic, NLP datasets and relational databases

• Healthcare and pharmaceutical data is strongly preferred: claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data

Analytical Thinking

• Statistical modeling (Marketing mix marketing, multi-touch attribution)

• Customer Segmentation and Clustering

• Forecasting and Trend analysis

• Geographic analysis

• Behavioral analysis

• Predictive analysis

• Opportunity sizing

• Triangulating data sources

Communication & Mindset

• Ability to distill complex findings into concise, relevant insights that guide true growth

• Curiosity- with a bias toward innovation, optimization, experimentation, and continuous improvement

• Apply new tools, datasets, and methodologies in evolving analytical environments

Our Pledge

At Inizio Evoke, Our goal is to provide you with the best possible support in an environment where you will grow. Our culture is entrepreneurial – embracing the uniqueness of each person. We aim to build an environment that is nurturing and inclusive and to ensure that you will have equal opportunities from the beginning of the recruitment process to the end of each day, everyday.