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

Open Systems Technologies

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Open Systems Technologies is a major financial firm seeking a Python Developer to join their team ... • Strong analytical skills with attention to detail • Strong communication skills Company

1 point system

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

• Minimum of 8 years of related experience • Expertise in Python; solid experience in building ... analytical and problem-solving skills • Excellent communication skills

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Responsible for data extraction and analysis from structured and unstructured sources, while ... Design, develop, and implement scalable backend systems using Python, with a focus on microservices ...

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 ...

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... to analyze complex data from multiple sources and objectively make reasoned judgment. Task ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Focuses on developing robust Python-based services, APIs, and data processing systems that support ... Responsible for data extraction and analysis from structured and unstructured sources, while ...

Scalence L.L.C.

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

C. is seeking a Python Developer to support Global Markets regulatory reporting applications ... The role involves requirement analysis, development, unit testing, and delivery of critical ...

ACI Infotech

Python Developer

Jersey City, NJ · On-site

$52.25 - $72/hr

Greeting from ACI Python Developer with AWS USC / GC H1B Transfers are accepted * 8 years software ... Experience with continuous integration, unit testing, static analysis, and automated integration ...

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 ...

Conch Technologies Inc

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6 ... Strong analytical, troubleshooting, and problem-solving skills * Excellent communication and ...

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 ...

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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 16, 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

Texas State Library and Archives Commision

New York, NY • On-site

$55 - $75.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

  • 10+ years of relevant work experience in a team-focused environment
  • Independently develop software primarily to support the Extract, Transform, and Load (ETL) functionality for loading data to a data warehouse allowing business analysts and functional leaders to action business decisions based on that data.
  • Write software using Python and Spark to automate data ingestion and data processing into the Analytical Data Warehouse.
  • Work daily with product owner and interfacing teams to deliver business requirements for Consumer Cards Data Warehouse and reporting systems.
  • General knowledge of business processes, data flows and the quantitative models that generate or consume data
  • In-depth knowledge of relational and columnar SQL databases, including database design
  • Experience in Databricks, Snowflake, Tableau
  • Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts
  • Strong work ethic, a sense of ownership and urgency
  • Strong analytical and problem solving skills
  • Working knowledge of at least one programming language (Python, Java, C++, C#, etc.)

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