1

Senior Python Data Analysis Jobs in Illinois (NOW HIRING)

Job Title Sr. Python Engineer Location Chicago, onsite 1 day/week. Relo is OK. (Chicago, IL ... Analyze complex data and systems to provide efficient technical solutions. * Develop and maintain ...

Sr. Python Engineer

Chicago, IL · On-site

$125K - $168K/yr

We are seeking a Senior Python Developer to design, develop, test, and debug new and existing ... Analyze complex data and systems to provide efficient technical solutions. * Develop and maintain ...

Senior Python Engineer

Chicago, IL · On-site

$125K - $168K/yr

Our client is seeking a Senior Python Engineer to join their team and help us build and maintain ... Strong problem-solving and analytical skills * Excellent communication and collaboration skills

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

Description We are looking for a Senior Data Analyst to join our mission-driven team. As an ... Skilled in Python - for advanced analysis and automation, including building and running machine ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

Sr. Data Analyst

Northbrook, IL · Hybrid

$142K - $152K/yr

... Cause Analysis for Customer Retention. * 2 years of experience working with Python to develop ... Please visit website primobrands.icims.com/jobs/37588/sr. -data- analyst/job?mode=view &mobile ...

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large-scale data extraction techniques. * Experience utilizing analytical and visualization tools to ...

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

Sr. Data Analyst

Northbrook, IL · On-site

$142K - $152K/yr

Responsibilities BlueTriton Brands, Inc. dba Primo Brands seeks Senior Data Analyst [multiple ... Cause Analysis for Customer Retention. * 2 years of experience working with Python to develop ...

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help ... Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code ...

Senior Tableau/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

... data processing solutions using Python. • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) • Write and optimize SQL and stored procedures ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data; Apply ... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data; Apply ... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and ...

Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... dive analysis into customer behavior, performance trends, and market opportunities Support ... Python, R, forecasting, or predictive analytics preferred Strong communication skills with the ...

next page

Showing results 1-20

Senior Python Data Analysis information

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 are the most commonly searched types of Python Data Analysis jobs in Illinois? The most popular types of Python Data Analysis jobs in Illinois are:
What are popular job titles related to Senior Python Data Analysis jobs in Illinois? For Senior Python Data Analysis jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Senior Python Data Analysis jobs? Cities in Illinois with the most Senior Python Data Analysis job openings:

Sr. Python Engineer

1 point system

Chicago, IL • On-site

Contractor

Posted 18 days ago


Job description

Hi ,
I hope you're doing well.

I'm reaching out regarding an exciting opportunity that I believe aligns well with your background and skill set.

To move forward, could you please provide the following details along with latest copy of resume:

Work Authorization and Expiry (If any)

LinkedIn Profile URL

Current Location with Zip code

Pay Expectation on W2 (hourly)

Complete JD:

Job Title

Sr. Python Engineer

Location

Chicago, onsite 1 day/week. Relo is OK. (Chicago, IL)

Interview Process

Need to come onsite for 2nd round and live in Chicago before starting.

No Data Engineers/Engineers, need more programming in Python & PANDA, need some Cloud exp or AWS (using now)

Location: Chicago

1. Programming Language: Python leveraging Panda, boto3

2. Development experience on AWS platform

3. Containerization tool: Docker

4. Environments: Linux, WINDOWS

5. Version Control: GIT

Job Description

We are seeking a Senior Python Developer to design, develop, test, and debug new and existing software applications. This role involves working on a large-scale platform, focusing on data manipulation, and coding based on complex business logic. The developer will participate in the full development life cycle, from requirements analysis to deployment, serving as a technical expert on development projects.

Key Responsibilities

  • Lead the design, implementation, deployment, and support of backend services.
  • Support large-scale enterprise solutions and applications using AWS services.
  • Analyze complex data and systems to provide efficient technical solutions.
  • Develop and maintain coding standards throughout the project life cycle.
  • Coordinate with cross-functional teams, including architects, engineers, and business owners.
  • Perform root cause analysis on production issues and monitor environments.
  • Create functional specifications and technical designs.
  • Implement industry best practices for code and configuration in an automated environment.
  • Provide technical advice, effort estimates, and impact analysis.

Required Qualifications

  • Experience: Over 8 years in Python development, with at least 6 years of recent, in-depth experience using the Pandas library for data manipulation on large datasets.

 Technical Skills:

  • Programming Language: Python (including Pandas and boto3).
  • Cloud Platform: Development experience on AWS.
  • Containerization: Docker.
  • Environments: Linux, Windows.
  • Version Control: Git.
  • Methodology: Agile development.
  • Observability Tools: Experience with tools like CloudWatch, Dynatrace, or DataDog.
  • DevOps: Experience with CI/CD pipelines and related processes.

Preferred Qualifications

  • Databases: Experience with MySQL, RDS, Redshift, or Iceberg.
  • Experience in automation.