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Python Data Analysis Jobs in New York (NOW HIRING)

Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze ... Past experience building Python data APIs * Experience writing data validations in Python

Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze ... Past experience building Python data APIs * Experience writing data validations in Python

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

... data analysts by providing data modeling guidance, query optimization and aggregation advice Must Have: * 3 years of experience in a data engineering role * Strong Python skills (Understands ...

In addition, you'll leverage your analysis skills to interpret client data requests and deliver ... Experience using Python or other programming languages is a plus * Strong interest in M&A and ...

In addition, you'll leverage your analysis skills to interpret client data requests and deliver ... Experience using Python or other programming languages is a plus * Strong interest in M&A and ...

Data Production Engineer

New York, NY · On-site

$125K - $150K/yr

Onboard datasets, explore data, and automate tasks using a modern Python data stack * Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality ...

Advanced SQL skills and high proficiency in Python for both data analysis and engineering * Understanding of data modeling principles (Kimball, Data Vault, or similar) * Experience with cloud data ...

Advanced SQL skills and high proficiency in Python for both data analysis and engineering * Understanding of data modeling principles (Kimball, Data Vault, or similar) * Experience with cloud data ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python Developer ACSB6EO2 W2 Rate * 68 USD Position Responsibilities Python Developer Location ... domain specific data analysis • 2yr+ Years of experience in Risk and pricing application ...

Must have at least One (1) year of experience in quantitative data analysis and supply chain * Must have knowledge of ERP, supply chain KPI, Python, data management, statistical inference, R, big ...

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

... data 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 ...

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Python Data Analysis information

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$64

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How much do python data analysis jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data analysis in New York 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 is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What job categories do people searching Python Data Analysis jobs in New York look for? The top searched job categories for Python Data Analysis jobs in New York are:
What cities in New York are hiring for Python Data Analysis jobs? Cities in New York with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in New York as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Data Scientist Alternative (NY)

Capital Fund Management (CFM)

Manhattan, NY • On-site

Other

Posted 27 days ago


Job description

ABOUT CFM


Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

Your Role

The Data Insights/Data Science Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

Key Responsibilities

As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including:

  • Extracting actionable features from alternative data
  • Designing robust, efficient, scalable, and monitored production pipelines
  • Support Quantitative Researchers in their day-to-day activities
  • Understanding business issues to identify new opportunities
  • End-to-end ownership of the features and production build
  • Ensuring continuous technology watch
Your Skills

You have a master's degree (ideally a Master's in machine learning or data science) from engineering school or university equivalent.

At Least a 2 years of expertise in the Python data science stack.

You are familiar with cloud services, such as AWS.

At least 2 years of expertise in machine learning, especially on time series, on a production environment

You bring experience with LLM-assisted coding, agentic AI, and prompt engineering, focused on developing robust, production-grade solutions for financial use cases.

You are versatile, autonomous, and rigorous, with a team player attitude and good communication skills.

You are keen to develop in an environment that handles large volumes of data.

EQUAL OPPORTUNITIES STATEMENT


We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
 

FOLLOW US


Follow us on Twitter or LinkedIn or visit our website to find out more about CFM.