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

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

... 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 ...

Senior Python Developer

Manhattan, NY · On-site +1

$133K - $180K/yr

This role is focused on building and maintaining cloud-native, data-driven applications and APIs ... Strong problem-solving, analytical, and debugging skills. * Excellent communication and ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python + React + Rest APi Position will be of Senior Python Developer who has experience working in ... domain specific data analysis • 2yr+ Years of experience in Risk and pricing application ...

Senior Python Engineer II

Newark, NJ · Hybrid

$126K - $170K/yr

Senior Python Engineer II Newark, New Jersey, United States About the Job Senior Python Engineer II ... data sources such as Bloomberg, MSCI, ICE, and others. * Advanced problem-solving and analytical ...

Senior Python Engineer

Manhattan, NY · On-site +1

$133K - $180K/yr

Senior Python Engineer - Comcast New York - New York (Remote if of tristate area / Hybrid if Local to NY) No H1B and CPT Possiblity of F2F if Local. An entertainment organization in New York City is ...

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

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 ...

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 ...

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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 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 Scraping Engineer (Freelance)

Mindrift

New York, NY • Remote

$45/hr

Part-time

Posted 22 days ago


Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.