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Senior Python Data Analysis Jobs in Waukegan, IL

Primo Brands

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 ...

Primo Brands

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 ...

CYNET SYSTEMS

Senior Data Analyst

Lake Zurich, IL · On-site

$38 - $43/hr

Comfortable learning and utilizing new tools (Python, Power BI, Qlik etc.). * Data governance ... Ability to initiate complex analysis, manage details, and provide strategic perspective.

Motorola

Senior Data Scientist (Hybrid)

Schaumburg, IL · Hybrid

$120K - $140K/yr

AI & Analytics Leadership * Lead and direct the strategic Artificial Intelligence & Analytics ... Python / R Programming to write clean, scalable data science code and maintain custom software ...

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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 5, 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:
Senior Python Data Analysis jobs near you

Sr. Data Analyst

Primo Brands

Northbrook, IL • Hybrid

$142K - $152K/yr

Full-time

Re-posted 10 days ago

Primo Brands rating

7.1

Company rating: 7.1 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

213th of 434 rated food and drinks producers

Job description

Responsibilities

BlueTriton Brands, Inc. dba Primo Brands seeks Senior Data Analyst [multiple positions] in Northbrook, IL

Duties: Support the ReadyRefresh business by unlocking technology stack and work with functions to maximize technology investment and leverage the systems in the most efficient and effective ways. Perform descriptive, predictive, and prescriptive analytics in SQL, Azure, PowerBI, and MS Excel using statistical models or industry accepted tools. Provide automated data solutions, tools, and capabilities to enable self-service frameworks for data consumers. Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization. Respond to data related inquiries in real-time to support business and technical teams. Provide analytical insights to enable growth strategies for the ReadyRefresh business. Work with business functions to understand how the business works and how data can help unlock opportunities. Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions. Telework acceptable up to 3 days per week.

Salary: $142210 to $152210 per year

Requirements:

Job requires Master’s degree or foreign equivalent in Computer Science, Data Analytics, or related quantitative field plus 5 years of analysis or reporting experience with data warehouse and data mart concepts. Required experience must include each of the following:

  • 5 years of experience in MS SQL Server or Oracle database platforms.
  • 5 years of experience working with BI Data Analysis or Visualization Tools;
  • 5 years of experience in Microsoft Excel including PowerQuery and PowerPivot.
  • 3 years of experience in quantitative analysis and statistical modelling.
  • 3 years of experience developing ETL solutions.
  • 3 years of experience with programming language “M” or Data Analysis Expressions (DAX).
  • 3 years of experience with data migration and storage solutions in cloud platforms including Synapse, Databricks, and Snowflake.
  • 2 years of experience in the high-volume CPG distribution industry.
  • 2 years of experience in Root Cause Analysis for Customer Retention.
  • 2 years of experience working with Python to develop business solutions and textual analysis for pattern recognition.
  • 2 years of experience in productivity analysis of direct operations and sales.

Telework acceptable up to 3 days per week.

Work Location: 310 Huehl Road, Northbrook, IL 60062

To Apply: Please visit website https://exempt-primobrands.icims.com/jobs/37588/sr.-data-analyst/job?mode=view&mobile=false&width=735&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240 . Please reference Job Code 37588.

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