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Senior Python Data Analysis Jobs in St Louis, MO

Guidehouse

Data Analyst

Fairview Heights, IL · On-site

$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 ...

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 · 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

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 ...

Equifax, Inc.

Senior Data Analyst, Finance

Saint Louis, MO · On-site

$83K - $105K/yr

Architect ETL pipelines using SQL, Python, and JSON to engineer robust data sources that drive high ... Financial Planning & Analysis Experience * Tableau Certifications * Familiarity with data pipelines ...

Kemper

Python Engineer Manager

Saint Louis, MO · On-site

Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify ... Python development, with experience creating python-based applications utilizing clean code ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

The successful candidate will possess a unique combination of business analysis, solution ... Python experience. * dbt experience. * Azure DevOps and Git experience. * Snowflake or Microsoft ...

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Senior Python Data Analysis information

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

As of Aug 8, 2026, the average yearly pay for senior python data analysis in St. 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 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 St. Louis, MO? The most popular types of Python Data Analysis jobs in St. Louis, MO are:
What are popular job titles related to Senior Python Data Analysis jobs in St. Louis, MO? For Senior Python Data Analysis jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in St. Louis, MO look for? The top searched job categories for Senior Python Data Analysis jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Senior Python Data Analysis jobs? Cities near St. Louis, MO with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in St. 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,032 per year, or $66.4 per hour.

Senior Data Scientist

Tiger Analytics, LLC

Saint Louis, MO • On-site

$90 - $120/hr

Other

Re-posted 4 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross‑functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data‑backed decision‑making and measurable business value.

Key Responsibilities
  • Apply statistical techniques and machine learning methods to solve complex business problems.
  • Build, validate, and deploy predictive and analytical models using Python.
  • Perform data extraction, transformation, and analysis using SQL across large datasets.
  • Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions.
  • Collaborate with product, business, and engineering teams to translate requirements into scalable data solutions.
  • Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
  • Ensure data quality, model performance, and continuous improvement of analytical workflows.
Qualifications
  • 8 years of experience in data science and ML models
  • Hands-on expertise in Python and SQL for data analysis and modelling.
  • In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or Auto ML.
  • Strong problem‑solving skills with the ability to work independently on end-to-end data science projects.
  • Excellent communication skills and stakeholder management experience.
  • Solid understanding of regression, classification, and statistical methods

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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