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Python Analyst Jobs in New York (NOW HIRING)

Python Instructor

New York, NY · On-site

$55 - $75.75/hr

Python Instructor About Wall Street Prep Founded in 2004 by investment bankers, Wall Street Prep ... Courses are designed for finance professionals, analysts, consultants, and MBA students looking to ...

Python Instructor

New York, NY · On-site

$55 - $75.75/hr

Python InstructorAbout Wall Street Prep Founded in 2004 by investment bankers, Wall Street Prep ... Courses are designed for finance professionals, analysts, consultants, and MBA students looking to ...

Python Developer

New York, NY

$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.

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Python with Risk Modelling Location: New York only - onsite position Role: Contract * Strong ... Experience with Liquidity Stress Testing , Interest Rate Risk (IRR) analytics , sensitivity ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... For Python: PYTHON developer responsible for integrating the front-end elements into the ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

... 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 ...

Python Developer

New York, NY

$55 - $75.75/hr

Description Laboro is seeking a talented MID_SENIOR Python Developer to join our dynamic ... Excellent problem-solving and analytical abilities * Effective communication and teamwork skills

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

SA Technologies Inc. is seeking a Python Developer to support the implementation and use of a ... analysis. Responsibilities : • Understand the existing framework and enhance/automate to make ...

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

Sound technologist, taking ownership, good problem solving and analytical skills. These skills are a must have Skills APPS NICHE SKILLS - CLOUD TECHNOLOGIES-PYTHON-DEVELOPMENT * have but not ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Sound technologist, taking ownership, good problem solving and analytical skills. These skills are a must have Skills APPS NICHE SKILLS - CLOUD TECHNOLOGIES-PYTHON-DEVELOPMENT * have but not ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Strong object-oriented analysis and design skills. * Familiarity with Python, Ruby On Rails, AngularJS, Javascript, JQuery, will be helpful but not essential. * Proficient with OO programming and ...

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

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

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 ...

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

... analytic libraries on trade and market data to generate risk/PnL values - Demonstrated experience in working on business facing projects related to trading and/or market risk - Experience in ...

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Python Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do python analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for python analyst in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What is a Python Analyst job?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

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

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the most commonly searched types of Python Analyst jobs in New York? The most popular types of Python Analyst jobs in New York are:
What job categories do people searching Python Analyst jobs in New York look for? The top searched job categories for Python Analyst jobs in New York are:
Infographic showing various Python Analyst job openings in New York as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.
Python Instructor

Python Instructor

Wall Street Prep

New York, NY • On-site

$55 - $75.75/hr

Full-time

Posted 29 days ago


Job description

Python Instructor
About Wall Street Prep
Founded in 2004 by investment bankers, Wall Street Prep (WSP) is a leading provider of professional skills training in financial modeling, valuation, data analytics, and business technology. Our mission is to bridge the gap between academia and the real world by equipping finance professionals and students with practical, hands-on technical skills.
We partner with top-tier investment banks, private equity firms, asset managers, consulting firms, Fortune 500 companies, and leading undergraduate and MBA programs. Our training is delivered through engaging in-person classroom sessions and our industry-leading online learning platform, all designed and taught by experienced industry professionals.
Position Overview
Wall Street Prep is seeking an experienced and engaging Python Instructor with a passion for teaching programming, data analysis, and automation to finance and business professionals.
As a Python Instructor, you will join our elite team of instructors delivering immersive, hands-on training seminars focused on Python programming, data analysis, visualization, and automation. Courses are designed for finance professionals, analysts, consultants, and MBA students looking to develop practical coding skills they can immediately apply in the workplace.
You will teach participants how to leverage Python and industry-standard libraries-including Pandas, NumPy, Matplotlib, and Seaborn-to clean data, automate repetitive tasks, perform financial analysis, and create meaningful visualizations. Training emphasizes practical business applications over theoretical computer science.
This is a unique opportunity to share your technical expertise, develop curriculum, refine your public speaking skills, and help professionals become more data-driven in today's increasingly technology-enabled workplace.
Key Responsibilities
Deliver live instructor-led training seminars for:
  • Investment banks and financial institutions
  • Private equity and asset management firms
  • Corporate finance teams
  • Consulting firms
  • Fortune 500 companies
  • Undergraduate, MBA, and Executive Education programs
Lead instruction in topics including:
Python Fundamentals
  • Python environment setup (Jupyter Notebooks)
  • Coding best practices
  • Variables, data types, and mathematical operations
  • Logical operators and conditional statements
  • Loops and iteration
  • Functions and modular programming
  • Built-in Python functionality
  • 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
  • Missing data management
  • Group By operations
  • Merging, joining, and concatenating DataFrames
  • Data manipulation and transformation
  • Financial data analysis using real-world datasets
Data Visualization
  • Creating effective charts and graphs
  • Line, bar, scatter, and pie charts
  • Histograms and box plots
  • Heatmaps
  • Pair plots
  • Distribution plots
  • Bubble charts
  • Correlation analysis
  • Multi-plot dashboards
  • Data storytelling through visualization
  • Best practices for presenting analytical insights
Applied Business & Finance Projects
Guide participants through hands-on projects such as:
  • Financial data cleaning and analysis
  • Market data exploration
  • Portfolio and index analysis
  • Time series analysis
  • Sales and operational reporting
  • KPI dashboards
  • Workflow automation
  • Financial modeling support
  • Research and reporting automation using Python
Curriculum Development
Collaborate with WSP's Learning Team to:
  • Develop and continuously improve Python training materials
  • Create engaging hands-on exercises and case studies
  • Design projects that simulate real business and financial scenarios
  • Expand curriculum covering Python applications in finance, investment analysis, and business analytics
  • Update course materials as Python libraries and best practices evolve
Student Support
  • Provide personalized coaching and mentorship during training sessions
  • Support participants through one-on-one tutoring engagements
  • Deliver actionable feedback on coding exercises and projects
  • Complete WSP's Train-the-Trainer Program, our structured instructor development initiative
What We Are Looking For
Experience
  • 3+ years of professional experience using Python in finance, data analytics, business intelligence, consulting, technology, or a related field
  • Experience working with real-world datasets and analytical workflows
  • Demonstrated ability to automate processes and solve business problems using Python
  • Experience teaching, mentoring, corporate training, or university instruction is highly desirable
Technical Skills
Strong proficiency with:
  • Python
  • Jupyter Notebooks
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

Experience with topics such as:
  • Data cleaning and transformation
  • Exploratory data analysis
  • Statistical analysis
  • Financial datasets
  • Data visualization
  • Business reporting
  • Automation and scripting

Experience with additional libraries such as scikit-learn, Plotly, or SQL is a plus.
Education
Bachelor's degree in one of the following (or a related field):
  • Computer Science
  • Data Science
  • Finance
  • Mathematics
  • Statistics
  • Engineering
  • Economics

Master's degree is a plus.
Skills & Passion
We're looking for someone who:
  • Has excellent Python programming skills
  • Can explain technical concepts in a simple, engaging manner
  • Enjoys mentoring and helping others learn
  • Creates an interactive classroom environment
  • Connects coding concepts to practical business and finance applications
  • Demonstrates outstanding communication and presentation skills
  • Is passionate about lifelong learning and staying current with emerging technologies
Availability
  • Willingness to provide approximately 10 training days or more per year, with enhanced availability during the summer months
  • Willingness to develop curriculum materials for both live and online training programs
  • Availability to teach week-long or multi-week instructor-led seminars
  • Flexibility to travel domestically and internationally
Compensation & Benefits
Compensation
Highly competitive daily instructor rate.
Benefits
  • All travel and accommodation expenses covered by WSP
  • Paid professional development through WSP's Train-the-Trainer Program
  • Opportunities to deepen expertise in Python, data analytics, and financial technology
  • Work with leading global financial institutions and Fortune 500 companies
  • Expand your professional network across finance, consulting, and technology
  • Develop exceptional public speaking, facilitation, and instructional design skills
  • Join a collaborative, entrepreneurial, and industry-leading instructor community
Equal Opportunity Employer
Wall Street Prep is committed to fostering an inclusive and equitable workplace. We encourage applications from individuals of all backgrounds and are proud to be an equal opportunity employer. We celebrate diversity and strive to create a work environment where everyone feels empowered to be their authentic selves.