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Full Time Python Data Analysis Jobs in Long Island, NY

Northern Base

Snowflake Lead Data Engineering

New York, NY · On-site

$110K - $130K/yr

Provide technical oversight for SQL, Python, and ELT based transformations AI / Advanced Analytics ... Data Engineering: ELT/ETL patterns, data modeling, CDC concepts * Python: Data processing ...

New

ays s.r.o.

Data Analyst

New York, NY · On-site +1

We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a ... Proficiency in data analysis tools such as Excel, SQL, and Python - Experience with data ...

SA Technologies Inc.

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 ... data analysis. Responsibilities : • Understand the existing framework and enhance/automate to ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

... data analysts by providing data modeling guidance, query optimization and aggregation advice Must Have: * 3 years of experience in a data engineering role * Strong Python skills (Understands ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Long Island, NY

Full Time Python Data Analysis information

See Long Island, NY salary details

$13

$59

$87

How much do full time python data analysis jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for full time python data analysis in Long Island, NY is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
What are the most commonly searched types of Python Data Analysis jobs in Long Island, NY? The most popular types of Python Data Analysis jobs in Long Island, NY are:
What cities near Long Island, NY are hiring for Full Time Python Data Analysis jobs? Cities near Long Island, NY with the most Full Time Python Data Analysis job openings:
Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Long Island, NY as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $124,001 per year, or $59.6 per hour.

Data Analyst

Tata Consultancy Service Limited

Jersey City, NJ • On-site

$100K - $125K/yr

Full-time

Re-posted 19 days ago

Job description

Data Analyst / Modeler
Role Overview
This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.
Experience Requirements
Requirement Details
Total Experience 5+ years in Data Analysis
Core Technical Skills
Programming Languages
• Python
Data Formats
• XML, JSON, Parquet, Avro, Protobuf Familiarity with multiple serialization/storage formats
️ Data & Query
• SQL Strong query building, analysis, troubleshooting, and optimization skills
Business Knowledge
• Financial Instruments Understanding of financial instruments especially Derivative products
• Data modeling Understanding of data modeling for Journals and accounting will be a good skill
AI & Productivity Tools
• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis
Non-Technical / Soft Skills
Skill Area Description
Performance Engineering Analysis, troubleshooting, and resolution of system performance issues
Multi-tasking Ability to work under pressure in a fast-paced environment
Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly
Problem Solving Demonstrated analytical and structured problem-solving skills
Adaptability Dynamic, flexible, high energy
Salary Range: $100,000 to $125,000 per year

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