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Python Data Analysis Jobs in Manhattan, NY (NOW HIRING)

Wall Street Prep

Python Instructor

New York, NY

$55 - $75.75/hr

Arrays and indexing Data Analysis with Python * NumPy fundamentals * Pandas Series and DataFrames * Reading and importing data * Data cleaning and preparation * Sorting and filtering datasets

Wall Street Prep

Python Instructor

New York, NY · On-site

$55 - $75.75/hr

Arrays and indexing Data Analysis with Python * NumPy fundamentals * Pandas Series and DataFrames * Reading and importing data * Data cleaning and preparation * Sorting and filtering datasets

SA Technologies Inc.

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

MRM McCann

Data Analyst

Manhattan, NY · On-site

$45K - $160K/yr

... analysis to support client recommendations and insights. The candidate should have a solid ... Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their ...

MRM McCann

Data Analyst

Manhattan, NY · On-site

$45K - $160K/yr

... analysis to support client recommendations and insights. The candidate should have a solid ... Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Manhattan, NY

Python Data Analysis information

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$64

$95

How much do python data analysis jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data analysis in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 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 Manhattan, NY? The most popular types of Python Data Analysis jobs in Manhattan, NY are:
What are popular job titles related to Python Data Analysis jobs in Manhattan, NY? For Python Data Analysis jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Manhattan, NY look for? The top searched job categories for Python Data Analysis jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Python Data Analysis jobs? Cities near Manhattan, NY with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Manhattan, NY as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $134,568 per year, or $64.7 per hour.

Data Analyst

Tata Consultancy Service Limited

Jersey City, NJ • On-site

$100K - $125K/yr

Full-time

Posted 26 days ago

Job description

Data Analyst / Modeler
Role Overview
This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.
Experience Requirements
Requirement Details
Total Experience 5+ years in Data Analysis
Core Technical Skills
Programming Languages
• Python
Data Formats
• XML, JSON, Parquet, Avro, Protobuf Familiarity with multiple serialization/storage formats
️ Data & Query
• SQL Strong query building, analysis, troubleshooting, and optimization skills
Business Knowledge
• Financial Instruments Understanding of financial instruments especially Derivative products
• Data modeling Understanding of data modeling for Journals and accounting will be a good skill
AI & Productivity Tools
• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis
Non-Technical / Soft Skills
Skill Area Description
Performance Engineering Analysis, troubleshooting, and resolution of system performance issues
Multi-tasking Ability to work under pressure in a fast-paced environment
Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly
Problem Solving Demonstrated analytical and structured problem-solving skills
Adaptability Dynamic, flexible, high energy
Salary Range: $100,000 to $125,000 per year

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