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Senior Python Data Analysis Jobs in Waukegan, IL

Analyzes data to develop cost benefit analysis of proposed programs through collection and data ... Advanced programming skills (e.g., Python and R), model development, regression analysis, and ...

Analyst Sr. Supply Chain

Deerfield, IL · On-site

$79K - $127K/yr

Networks with senior internal and external personnel in own area of expertise, working ... Proficient in Python for data analysis. We will consider employment of qualified applicants with ...

Programming skills in Python, R, or SQL. * Hands-on experience in data science and data analytics. * Demonstrated experience in prompt engineering, fine-tuning, and evaluating generative or agentic ...

Programming skills in Python, R, or SQL. * Hands-on experience in data science and data analytics. * Demonstrated experience in prompt engineering, fine-tuning, and evaluating generative or agentic ...

Senior Engineer, AI

North Chicago, IL

$100K - $138K/yr

Build and deploy predictive analytics, ML, and gen AI solutions into production. * Develop robust ... Possess thorough theoretical and practical understanding of python, data science, machine learning ...

Build and deploy predictive analytics, ML, and gen AI solutions into production. * Develop robust ... Possess thorough theoretical and practical understanding of python, data science, machine learning ...

Programming skills in Python, R, or SQL. * Hands-on experience in data science and data analytics. * Demonstrated experience in prompt engineering, fine-tuning, and evaluating generative or agentic ...

Work under the direction of the Manager of Data Analytics to assure corporate architecture ... Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin ...

Position Summary CVS Health is seeking a Senior Financial Analyst to join the Channel & Client ... Ensure data integrity through validation, anomaly detection, and refinement of underlying ...

New

Senior Industrial Engineer

Northbrook, IL · On-site

$118K - $130K/yr

Using engineering principles, data analysis, and Lean methodologies, the Senior Industrial Engineer ... Python, or similar analytical tools. * Strong project management, organizational, and time ...

Support data science and analytics initiatives using SQL, Python, R, and Excel. * Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. Qualifications ...

Senior Engineer, AI

North Chicago, IL

$100K - $138K/yr

Build and deploy predictive analytics, ML, and gen AI solutions into production. * Develop robust ... Possess thorough theoretical and practical understanding of python, data science, machine learning ...

Showing results 41-60

Senior Python Data Analysis information

See Waukegan, IL salary details

$52.3K

$134.9K

$185.3K

How much do senior python data analysis jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior python data analysis in Waukegan, IL is $134,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $155,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What job categories do people searching Senior Python Data Analysis jobs in Waukegan, IL look for? The top searched job categories for Senior Python Data Analysis jobs in Waukegan, IL are:

Director of Data & Analytics

Gallagher

Rolling Meadows, IL

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Arthur J. Gallagher & Co. rating

7.7

Company rating: 7.7 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

200th of 301 rated insurance


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

The Director of Data Analytics leads a team of 10+ analytics professionals and is responsible for advancing the organization’s analytics strategy, delivery, and capabilities. This role drives data-informed decision-making by delivering insights that support business performance, operational management, and executive leadership across the enterprise. Leveraging Gallagher’s enterprise data warehouse, the Director translates complex data on customers, purchasing behaviors, and insurance risk characteristics into scalable reporting and actionable insights. The role also partners closely with IT and data governance to shape data strategy, oversee data initiatives, and ensure the quality, value, and effective use of enterprise data assets.


How you'll make an impact
  • Lead and manage 10 professionals on the data analytics team, fostering a culture of innovation and excellence.
  • Develop and implement comprehensive data analytics strategies aligned with business goals. Solutions will monetize value of our enterprise data platform. Enterprise data sets include client information, detailed insurance information about client’s policies, claims, operational information, and industry-specific data sets.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions, including risk consultation and purchase analytics for insurance customers.
  • Oversee the design, development, and maintenance of data models, dashboards, and reports.
  • Ensure data integrity, accuracy, and security across all analytics platforms. Work closely with IT and enterprise data governance to set and maintain quality standards.
  • Provide actionable insights and recommendations to senior leadership to support strategic decision-making and inform tactical management actions.
  • Stay abreast of insurance industry trends and emerging data technologies to continuously improve analytics capabilities.
  • Manage relationships with external vendors and partners to enhance data analytics resources.
  • Develop and monitor key performance indicators to measure the effectiveness of analytics initiatives.
  • Mentor and develop team members, promoting professional growth and skill development. Participate in programs to increase the overall data competency across divisional teams.

About You
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1



Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:
  • Bachelor’s degree in Finance, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 8–10 years of experience in data analytics, with at least 5 years in a leadership role.
  • Experience in the insurance or risk management industry is preferred.
  • Demonstrated success translating business needs into scalable reporting and analytics solutions.
  • Proficiency in programming languages such as Python, R, and SQL, as well as visualization tools such as Tableau and Power BI. Experience working in cloud computing environments such as Snowflake.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Effective communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Experience leading analytics roadmaps across multiple business stakeholders while achieving project timelines.

#LI-NP1


Education:UNAVAILABLEEmployment Type: FULL_TIME

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