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Commission Python Data Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

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 ...

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How much do commission python data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for commission python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Commission Python Data Analyst?

A Commission Python Data Analyst is a data professional who specializes in analyzing and interpreting data using the Python programming language, often working on a commission or contract basis. They use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data, helping organizations make data-driven decisions. Their responsibilities may include creating reports, building predictive models, and automating data workflows. These analysts typically work across various industries and are valued for their ability to deliver insights quickly and efficiently.

How does a Commission Python Data Analyst typically collaborate with sales or business teams to drive data-driven decision-making?

As a Commission Python Data Analyst, you will frequently work alongside sales or business development teams to analyze sales performance, identify trends, and develop actionable insights that can boost revenue. You’ll often be tasked with translating raw data into clear, concise reports or interactive dashboards tailored to non-technical stakeholders. Close collaboration is essential; expect to attend regular meetings, discuss data requirements, and provide ongoing support to help teams set and achieve their targets. Your ability to communicate complex findings in an accessible way directly impacts the business’s strategic decisions and your own commission potential.

What are the key skills and qualifications needed to thrive as a Commission Python Data Analyst, and why are they important?

To thrive as a Commission Python Data Analyst, you need strong analytical skills, expertise in Python programming, and a solid understanding of statistics and data modeling, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (such as pandas and NumPy), visualization tools (like Matplotlib or Seaborn), and familiarity with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and present findings to stakeholders. These skills and qualities are essential for accurately analyzing commission-based data, driving informed decisions, and supporting business goals.

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Commission Python Data Analyst jobs near you

Python Data Analyst

Wilmington, DE • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Analyst to assist in a major legacy platform migration to S3 AWS. The successful candidate will work with data extraction using Python and perform data analysis and validation tasks.
Responsibilities:
• working with data extraction using Python, and S3, performing data analysis and data validation.
• working a techno/functional role.
Qualifications:
Required:
• 6+ years of experience
• Data Analysts with at least 5 years of experience total, working a techno/functional role
• Working with data extraction using Python
• Performing data analysis and data validation
• At least 2 years working with Python and Cloud
• Jira and Excel for Data Analysis
• Knowledge of Data Mapping and Models
• Table Extraction
Preferred:
• AWS S3 strongly preferred
• Spark experience, other data extraction tools
• Knowledge of Risk and Fraud data models
• Technical knowledge on Python, Spark, AWS (hands on experience)
• Statistics, Data engineer, Integration testing, Database Knowledge, Data Analysis
• Understanding of Model and its Lifecycle
• Expectation for model validation
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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