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Python Analytics Jobs in New York, NY (NOW HIRING)

Grinteq

Python Developer

Manhattan, NY · On-site

$40/hr

... analytics on the frontend. Responsibilities and duties * Take ownership of backend to frontend ... Python proficiency and working knowledge of a Python framework is a must, familiarity with Django ...

TecTammina

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

The Candidate must be able to write good quality Python Code to meet project requirements. Expected ... Analytical and Problem-Solving Skill Experience in understanding the business area and user ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

SPAR Information Systems LLC

SQL/ Python Developer

New York, NY · On-site

$55 - $75.75/hr

SQL/Python Developer Location: NYC, NY (3 days onsite per week) Duration: 12 Months Primary skills ... Hands-on engineer who can - Analyze and optimize complex SQL code and stored procedures ...

Posted today

Redolent, Inc.

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

... analysis • 7yr+ Years of experience in Risk and pricing application development, will be plus • 7yr+ Years of experience in REST, ReactJS or FullStack development • Experience and exposure on ...

ACI Infotech

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Role: Sr Python Developer Location: NYC Duration : Full-time Looking for candidates with 10+ years ... We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive ...

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Analyze technical requirements and interpret them into code * Writing reusable, testable, and ... Python * Experience with database technologies such as SQL, Oracle or non-relational databases

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Analyze technical requirements and interpret them into code * Writing reusable, testable, and ... Python * Experience with database technologies such as SQL, Oracle or non-relational databases

TecTammina

Python Developer (Full Time)

Jersey City, NJ

$52.50 - $72.25/hr

The Candidate must be able to write good quality Python Code to meet project requirements. Expected ... Analytical and Problem-Solving Skill Experience in understanding the business area and user ...

GainAm

Entry Level Python Developer job

Hicksville, NY · On-site

$55K/yr

Required Skills Python Required Experience We are looking for excellent aptitude towards python and ... Basic planning/organizational skills and techniquesGood decision making, analysis and problem ...

JS Consulting

Python developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Job Title- Python developer Project Location - 3 days onsite in a week in Jersey City, NJ Duration ... such as analysis and prod developments. This role is working on the Finance Re-Design (FRD) and ...

Smart Bot Systems

Senior Python Developer

Jersey City, NJ · On-site

$125K - $130K/yr

Key responsibilities include writing clean Python code, building and optimizing ETL processes, and ... Strong problem-solving and analytical skills Experience with big data technologies (e.g., Hadoop ...

US Tech Solutions

Python Developer

New York, NY

$55 - $75.75/hr

Design and deliver RADIAL framework using python. Design & implement enhancements in a demanding ... Develop working knowledge for the usage of bank pricing analytics library. Qualifications ...

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All JobsPython Analytics JobsPython Analytics Jobs in New York, NY

Python Analytics information

See New York, NY salary details

$14

$64

$94

How much do python analytics jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for python analytics in New York, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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 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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in New York, NY? For Python Analytics jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in New York, NY look for? The top searched job categories for Python Analytics jobs in New York, NY are:
What cities near New York, NY are hiring for Python Analytics jobs? Cities near New York, NY with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in New York, NY as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.
Python Developer

Python Developer

Grinteq

Manhattan, NY • On-site

$40/hr

Contractor

Re-posted 5 days ago

Job description

Position
We are looking for Python/Django Full-Stack Engineer with a focus on the backend. The person will be a meaningful part of a small team (5 Engineers). You are going to work directly with the product and design teams to lead the development of user-facing products. As a full-stack engineer, you will get to work on transforming large data sets in the backend to easy-to-use products and analytics on the frontend.
Responsibilities and duties
  • Take ownership of backend to frontend stack and develop products you are proud to highlight.
  • Work with existing large scale data sets to build backend services.
  • Integrate services and data into front end frameworks and templates to deliver working products.
  • Collaborate with data and other backend engineers on large scale data projects.
  • Collaborate with product and design to understand and implement new features.

Qualifications and skills
  • At least 3 years of experience with full-stack development in Python.
  • Python proficiency and working knowledge of a Python framework is a must, familiarity with Django is a plus.
  • Strong understanding of API architecture, frontend JS frameworks, and frontend template development.
  • Detail-oriented and can translate product and design requirements into a working application.
  • Familiarity with AWS, Linux, Celery, Redis, Elasticsearch is a plus.

What we offer
  • A decent salary level which allows you to think about our mutual success and not about tomorrow.
  • Flexible working hours. You create your own schedule. Important part though: many of our clients are from US, so be ready for occasional evening calls.
  • Possibility to work remotely. You prefer home office or traveling around? Easy, that's exactly how we operate.

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