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Python Analytics Jobs in New York (NOW HIRING)

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 ...

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

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 ...

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

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 ...

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 ...

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 ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

... Python * Implement real-time data pipelines and integrations using Kafka * Build and optimize data ... Work with PySpark for large-scale data processing and analytics * Develop and integrate RESTful ...

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 ...

Python Developer

New York, NY

$55 - $75.75/hr

Excellent C++ and/or python/scripting skills with 7+ years of experience Excellent system design for a software oriented architecture Strong analytical skills Knowledge of programming with UNIX is ...

Partner with Risk users, analysts, and technology teams during testing and production deployment. Required Skills * Advanced Python development expertise. * Strong SQL and relational database ...

New

Senior Python Developer

New York, NY · On-site

$121K - $181K/yr

The Senior Python Developer is an intermediate level position responsible for participation in the ... The overall objective of this role is to contribute to applications systems analysis, programming ...

Senior Python Developer

Manhattan, NY · On-site +1

$133K - $180K/yr

Our client seeks an Senior Python Developer for a 12 Months project in Remote .Below is the ... Strong problem-solving, analytical, and debugging skills. * Excellent communication and ...

Python Developer

New York, NY · On-site

$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 ...

Showing results 41-60

Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What cities in New York are hiring for Python Analytics jobs? Cities in New York with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in New York as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Senior Python Developer

Redolent, Inc.

Jersey City, NJ • On-site

$126K - $170K/yr

Contractor

Re-posted 23 days ago


Job description

Position will be of Senior Python Developer who has experience working in Python, REST, ReactJS and Preferably experience working in Financial services within Global Markets.
• 10yr+ Hands on Programming experience in any Object oriented language, Preferably Python
• 7yr+ Experience as senior developer on Front office applications in Banking services, knowledge of Fixed Income products will big plus
• 7yr+ Years of experience in Quantitative researcher and developer, ability to deal with domain specific 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 on Object Database along with Relational Databases
• Experience or Knowledge of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus
• Subject matter expertise to work on Quartz platform is big plus
Midlevel Profile
Position will be of Senior Python Developer who has experience working in Python, REST, ReactJS and Preferably experience working in Financial services within Global Markets.
• 5yr+ Hands on Programming experience in any Object oriented language, Preferably Python
• 3yr+ Experience as senior developer on Front office applications in Banking services, knowledge of Fixed Income products will big plus
• 3yr+ Years of experience in Quantitative researcher and developer, ability to deal with domain specific data analysis
• 2yr+ Years of experience in Risk and pricing application development, will be plus
• 3yr+ Years of experience in REST, ReactJS or FullStack development
• Experience and exposure on Object Database along with Relational Databases
• Experience or Knowledge of Trade Surveillance and Market Misconduct in Global Market, is optional but will be plus
• Subject matter expertise to work on Quartz platform is big plus
Also looking for a candidate with Expertise in Python, MongoDB, and GenAI (AI agent development).
Python + capital market
• 5+ years of strong Python development experience with demonstrable experience of having designed and developed complex server-side components.
• Experience working in Financial Services specifically within markets in front office derivatives risk systems or pretrade/origination or post trade management systems.
• Computer science or equivalent degree

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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