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Python Analytics Jobs (NOW HIRING)

Farther

Portfolio Quant Developer

New York, NY

Build optimized Python analytics for portfolio measurement at scale - supporting multi-asset books across tens to hundreds of billions in AUM * Own cost basis, holdings, and transaction data ...

TriOptus LLC

Python - Basic

Wilmington, DE · On-site

$48.75 - $67.25/hr

Junior Analyst to support client's Risk and Control organization through data-driven reporting ... Python development and analytics - Write clean, production-oriented Python code to ingest ...

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 ...

On Strider, Inc.

Python Developers

Snowflake, AZ · On-site

$43 - $59.25/hr

In finance, it supports data analysis, predictive modelling, and automation, helping companies streamline workflows and make data-driven choices. E-commerce platforms rely on Python to build reliable ...

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 ...

Omni Inclusive

Python Automation

Mountain View, CA

$58.75 - $81/hr

Software development role using python to develop workflows, approval, analytics dashboards, notification systems. This is a unique opportunity to work on Python-based automation systems that power ...

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How much do python analytics jobs pay per hour?

As of Jun 3, 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 Snowflake ETL Developer

Python Snowflake ETL Developer

ShiftCode Analytics

Manhattan, NY • Hybrid

$55.50 - $76.25/hr

Other

Posted 16 days ago

Job description

Python Snowflake Etl Developer

Location: New York City (hybrid: 2-3 days in NYC)

(MUST be local to New York City.)

Duration: 6 Month with a likely extension.

Visa: Any

(This is for a foreign bank)

Job Description

You will be responsible for designing and creating the data warehouse and all related extraction, transformation and load of data functions in the company. After the groundwork has been laid, you will also test your designs to ensure the system runs smoothly. Furthermore, you must be expert at taking a big-picture view of a company's data situation. A skill set that is a big plus is called data modeling. This means you will need to be able to read, analyze and digest what a business wants to accomplish with its data, and design the best possible ETL process around those goals. Database designs take on many forms, including star and snowflake schemas.

Key skills: 60% ETL/ 40% BA skills, SnowSQL (very strong – can do transformations, etc.), Azure Data Factory, Python

Qualifications
  • Capital markets and derivatives business knowledge preferred
  • Technical expertise in SQL Server and Python Git change management
  • SnowSQL
  • Azure Data Factory
Education
  • Bachelor's degree in Computer Science or Finance
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About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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