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

XFORIA Inc

Python Developer with GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Fulltime Summary We are seeking an experienced Senior Python Engineer to design, build, and ... data, and quality standards Required Qualifications Bachelor's degree in Computer Science ...

The Cypress Group

Senior Python Engineer

New York, NY

$170K - $210K/yr

We're looking for a Senior Backend Engineer who thrives in fast moving environments, enjoys solving ... data, and infrastructure teams Lead technical initiatives and contribute to architectural decision ...

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help ... Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code ...

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

cxb

Senior Director, Data Analytics

Manhattan, NY

Experience and comfort with SQL, R, and other programming languages used for data analysis; and ... Ability to read and document data methods in a variety of languages, such as R, Python, SQL

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
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 are popular job titles related to Senior Python Data Analysis jobs in New York? For Senior Python Data Analysis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in New York look for? The top searched job categories for Senior Python Data Analysis jobs in New York are:
What cities in New York are hiring for Senior Python Data Analysis jobs? Cities in New York with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you
Python Developer with GenAI

Python Developer with GenAI

XFORIA Inc

Jersey City, NJ • On-site

$52.50 - $72.25/hr

Other

Posted 19 days ago

Job description

Job Title: Python Developer (GenAI Experience)

Location: Jersey City, NJ (Hybrid)

Mode: Fulltime 

Summary

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, and modern backend technologies. The ideal candidate will take ownership of complex features, mentor other engineers, and work closely with cross-functional teams to deliver reliable and performant solutions.
Key Responsibilities
Design, develop, and maintain scalable Python-based applications and services
Lead technical design and architecture discussions for complex systems
Write clean, efficient, and maintainable code following best practices
Conduct code reviews and provide technical mentorship to junior and mid-level engineers
Collaborate with product, DevOps, QA, and architecture teams
Optimize performance, scalability, and reliability of applications
Troubleshoot and resolve complex production issues
Build and enhance automated testing frameworks
Support CI/CD pipelines and modern DevOps workflows
Ensure compliance with security, data, and quality standards
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
8+ years of professional software development experience
Strong proficiency in Python and object-oriented programming
Experience with at least one major Python web framework (Django, Flask, or FastAPI)
Strong understanding of RESTful API design and development
Experience with relational databases (PostgreSQL, MySQL, Oracle) and SQL
Familiarity with NoSQL databases (MongoDB, DynamoDB, Redis)
Solid knowledge of asynchronous processing and multithreading/multiprocessing concepts
Experience with Git and modern version control workflows
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience with data pipelines, ETL processes, or distributed systems
Knowledge of messaging systems (Kafka, RabbitMQ, SQS)
Experience building microservices and event-driven architectures
Exposure to data science, machine learning, or AI platforms is a plus
Testing & Quality
Strong experience with testing frameworks (pytest, unittest, nose)
Familiarity with test automation, integration testing, and performance testing
Commitment to high code quality, reliability, and maintainability
Soft Skills
Strong problem-solving and analytical abilities
Excellent written and verbal communication skills
Ability to lead technical initiatives and influence architecture decisions
Comfortable working in fast-paced, collaborative environments
Passion for mentoring, learning, and continuous improvement

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