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Commission Python Data Analyst Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Source origins of data inaccuracies through data pipeline dependencies and python code base

IL · On-site

Python data analysis Work Environment / Location Scott AFB, IL (508 Scott Drive). On-site primary; off-site permitted for unclassified work where noted.

If you are passionate about data, proficient in Python and SQL, and have experience working with cloud platforms such as Azure, AWS, or GCP. Responsibilities: * Data Analysis and Interpretation:

PySpark / Python Data Engineer - Tech Lead Role We are seeking a seasoned professional with expertise in building data engineering and analytics solutions within AWS ecosystems. The ideal candidate ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

$85K - $108K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

GCP Python Data Engineer

Atlanta, GA

$110K - $132K/yr

... analytics, reporting, and machine learning workloads Optimize performance and cost of data ... Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered ...

... Skills · Python or R programming · ETL tools (SSIS, Informatica) · Cloud platforms (AWS, Azure, Google Cloud Platform) · Business intelligence tools · Version control (Git) · SQL Server ...

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data Analyst who is ready to work on QE side with Java/Python * Data Engineers - Who is ready to do QE role with Java/Python * SQL query writing & programming (Java/Python) * Java/Python plays a role ...

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Commission Python Data Analyst information

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

As of Jun 25, 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 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.

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 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.
What cities are hiring for Commission Python Data Analyst jobs? Cities with the most Commission Python Data Analyst job openings:
What are the most commonly searched types of Python Data Analyst jobs? The most popular types of Python Data Analyst jobs are:
What states have the most Commission Python Data Analyst jobs? States with the most job openings for Commission Python Data Analyst jobs include:
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 29 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote