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Senior Python Data Analysis Jobs in Saint Louis, MO

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights * Analyze data structures, relationships, and ...

CliftonLarsonAllen LLP

Data Analyst Senior

Saint Louis, MO · On-site

$75 - $95/hr

About the Role CLA is hiring a Data Analyst Senior to leverage the Microsoft Power Platform and scripting languages such as R or Python to clean, analyze, and visualize data for internal and external ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Senior-level proficiency in Python and experience developing production-quality analytic ... Experience developing data models, automation workflows, and repeatable analytic processes.

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Senior-level proficiency in Python and experience developing production-quality analytic ... Experience developing data models, automation workflows, and repeatable analytic processes.

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Senior-level proficiency in Python and experience developing production-quality analytic ... Experience developing data models, automation workflows, and repeatable analytic processes.

Guidehouse

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

... senior-level technical labor categories. * Experience with: SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data visualization tools (e.g., Power BI, Tableau, or ...

Boeing

Senior Data Scientist

Hazelwood, MO

Build systems that enable conducting data analysis and exploration to identify patterns, trends ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Build systems that enable conducting data analysis and exploration to identify patterns, trends ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Build systems that enable conducting data analysis and exploration to identify patterns, trends ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Build systems that enable conducting data analysis and exploration to identify patterns, trends ... Python, Julia, R, C, C++, C#, Java. * Experience leading technical teams or projects Preferred ...

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Senior Python Data Analysis information

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$53.5K

$138K

$189.6K

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

As of Aug 24, 2026, the average yearly pay for senior python data analysis in Saint Louis, MO is $138,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $159,000.00 per year, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Python Data Analysis jobs in Saint Louis, MO?

The most popular types of Python Data Analysis jobs in Saint Louis, MO are:

What are popular job titles related to Senior Python Data Analysis jobs in Saint Louis, MO?

For Senior Python Data Analysis jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Saint Louis, MO look for?

The top searched job categories for Senior Python Data Analysis jobs in Saint Louis, MO are:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,032 per year, or $66.4 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 28 days ago

Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON

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