1

Freelance Python Data Analysis Jobs in New York (NOW HIRING)

Data Analysis Manager - Tech At Capital One, data is at the center of everything we do. When we ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Mining and cleaning data in preparation for analysis * Source and query data required for both ... R, Python) * Data visualization and presentation skills, * Interest in more advanced topics in ...

Data Engineer

Rahway, NJ · On-site

$116.20K - $139.60K/yr

SQL/Python/Data Engineer/AWS Data Engineers who can build scalable, reliable data pipelines and ... Collect, process, and analyze large datasets to extract meaningful insights. Design and conduct ...

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... Freelance autonomy with the structure and consistency of meaningful, ongoing technical work * Make ...

Knowledge of Statistics, Python, data visualization tools * Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, Time series analysis Please understand ...

Good experience with Python, Azure Data Factory, Python, Data Bricks, Azure Data Lake. * Good data analysis skill and testing the E2E data pipeline within the project. * Understand & use the data ...

Senior Data & Analytics Engineer

Manhattan, NY · On-site

$116.90K - $158.70K/yr

... analysis using Python and SQL to uncover trends and influence product, customer experience, and strategy Build and scale data infrastructure Own data pipelines and analytics architecture using dbt ...

Knowledge of statistics, Python, data visualization tools * Excellent written and verbal communication skills Preferred skills: NLP, text mining, Tableau, time series analysis Please understand ...

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.

Senior Data Engineer

Passaic, NJ · Hybrid

$109.80K - $149.10K/yr

... in data analytics space * 1-2 years of experience in developing data applications in Cloud (AWS) * Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement ...

Be Seen First

... Python or R. * Contribute to statistical analysis, hypothesis testing, and predictive modeling to support business objectives. Market Trends and Insights: * Conduct exploratory data analysis to ...

Python engineers in capital markets are responsible for developing, maintaining, and improving ... Strong knowledge of data analysis and visualization tools (e.g., Pandas, Matplotlib). Understanding ...

Python engineers in capital markets are responsible for developing, maintaining, and improving ... Strong knowledge of data analysis and visualization tools (e.g., Pandas, Matplotlib). Understanding ...

Proficient in Python or R for research, data analysis, or modeling * Exceptional written ... Freelance autonomy with the structure of meaningful, task-based work * Apply your scientific ...

next page

Showing results 1-20

Freelance Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.
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 Freelance Python Data Analysis jobs in New York look for? The top searched job categories for Freelance Python Data Analysis jobs in New York are:
What cities in New York are hiring for Freelance Python Data Analysis jobs? Cities in New York with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in New York as of May 2026, with employment types broken down into 73% Full Time, 15% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

New York, NY

Other

Posted 19 days ago


Job description

Location: NYC, New York - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 
  • Design and implement data workflows on Snowflake or comparable cloud data platforms. 
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles. 
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 
  • Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

  • Strong proficiency in Object-Oriented Python development. 
  • Experience designing and executing ETL processes, preferably with Informatica. 
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 
  • Solid SQL skills for complex query writing and performance optimization. 
  • Proficiency in scripting languages like Shell, Bash, or PowerShell. 
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 
  • Familiarity with software development best practices, source control, and CI/CD pipelines. 
  • Experience working in Agile environments. 
  • Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. 
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows