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Python Analytics Jobs (NOW HIRING)

Sarian, Inc.

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Ability to analyze problems, identify solutions, and implement them effectively. Roles & Responsibilities: * Code Development: Writing, testing, and debugging Python code for various applications ...

Apex Informatics

Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Should be good with data modeling and data integration/analysis skills * They have current dashboards already - Dashboards are in Tableau - Tableau is a plus Proficient in Python development as well ...

Apex Informatics

Python Developer

Murphy, TX · Hybrid

$48 - $66.25/hr

Should be good with data modeling and data integration/analysis skills * They have current dashboards already - Dashboards are in Tableau - Tableau is a plus Proficient in Python development as well ...

Sarian, Inc.

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging Python code for various applications. * Developing server-side logic, back-end components, and APIs.

Kaizen Technologies

Python Engineer

Pittsburgh, PA

Core Python, strong Algorithm and Analytical thinking, SQL, Experience in risk analytics is preferred. You will contribute to TCAP as a central aggregator and modeling engine across Treasury, Risk ...

Nexiva Inc

Python Developer

Austin, TX · On-site

$49.75 - $68.75/hr

Python Developer Location : Austin, TX Hybrid - Local Candidates Only Duration : Long-Term Contract ... Analyze business and technical requirements to enhance existing systems and workflows.

Cynet Systems, Inc.

Python Developer

Memphis, TN · On-site

$48.75 - $67.25/hr

Title: Sr Python Developer Location: Memphis, TN Terms: Contract Need only USC/GC/H1B Job Details ... Responsible for coding customized analytical models having a medium to high degree of complexity.

Samprasoft

Python developer

Roanoke, TX · On-site

$48.25 - $66.50/hr

Duration: Long Term Contract Top skills: 3+ years of recent Python Development experience -PL/SQL -Data Analysis skills Job Details: * Good experience with ETL technologies (SSIS, Power Centre). * 3+ ...

Pyramid Consulting

Python Developer

Plano, TX · Hybrid

$60 - $68/hr

Analyze complex domain-specific datasets to support surveillance, risk, and monitoring use cases ... Python * REST API Development * ReactJS / Full-Stack Development * Strong verbal and written ...

Conch Technologies

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Excellent analytical, problem-solving, and troubleshooting skills * Demonstrated expertise in CICD pipelines with Docker,/Github Actions/Kubernetes will be an advantage Description * Python developer ...

Redolent, Inc

Python programmer

Sunnyvale, CA · Remote

Python programmer LOCATION: Sunnyvale, CA Or Remote - PST Time zone Duration: 6 to 12+ Months Rate ... Analyze requirements to ensure a compliant and secure infrastructure in Azure cloud. Managing and ...

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How much do python analytics jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python analytics in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

More about Python Analytics jobs
What cities are hiring for Python Analytics jobs? Cities with the most Python Analytics job openings:
What states have the most Python Analytics jobs? States with the most job openings for Python Analytics jobs include:
What job categories do people searching Python Analytics jobs look for? The top searched job categories for Python Analytics jobs are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Developer

Sarian, Inc.

Strongsville, OH • On-site

$46.25 - $64/hr

Full-time

Posted 22 days ago

Job description

Must Have Technical/Functional Skills:
  • Python Programming: Proficiency in Python language and its ecosystem.
  • Frameworks: Knowledge of Python web frameworks (Django, Flask, etc.).
  • Databases: Experience with relational databases (SQL) and/or NoSQL databases.
  • APIs: Familiarity with REST APIs and other API protocols.
  • Version Control: Proficiency with Git and other version control systems.
  • Testing: Knowledge of unit testing, integration testing, and automated testing frameworks.
  • Debugging: Strong debugging skills and ability to troubleshoot issues.
  • Problem-solving: Ability to analyze problems, identify solutions, and implement them effectively.

Roles & Responsibilities:
  • Code Development: Writing, testing, and debugging Python code for various applications.
  • Back-end Development: Developing server-side logic, back-end components, and APIs.
  • Integration: Integrating applications with other services and systems.
  • Frameworks: Utilizing Python frameworks like Django and Flask for web application development.
  • Collaboration: Working with front-end developers, software architects, and other teams to deliver cohesive solutions.
  • Optimization: Optimizing code for performance, scalability, and security.
  • Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning tasks.
  • Testing: Implementing test-driven development and automated testing.
  • Debugging: Troubleshooting and debugging application issues.
  • Security: Implementing security measures to protect data and applications.

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