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Full Time Python Data Analysis Jobs in Long Island, NY

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 7, 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.

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.

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 analyst?

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.
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.

Snowflake Lead Data Engineering

Northern Base

New York, NY • On-site

$110K - $130K/yr

Full-time

Posted 8 days ago

Job description

Snowflake Lead Data Engineering
Job Description
 
Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL
Roles & Responsibilities
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK ’s enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
 
Snowflake Production Support
• Perform root cause analysis for job failures and data analysis & fixes 
• Perform Month End Closing Activities
Snowflake Development & Architecture
• Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
• Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
• Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
• Oversee promotion of code across environments using CI/CD practices 
Data Engineering & Integration
• Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
• Ensure data quality checks, reconciliation, and schema drift handling
• Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
• Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
• Enable AI/ML use cases on Snowflake, including: 
o Feature engineering datasets for ML models
o Snowpark (Python)–based data processing
o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as: 
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
 
Core Technical Skills
• Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
• Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
• Python: Data processing, automation, Snowpark (preferred)
• Strong understanding of cloud data platform architecture (AWS preferred)
 
AI / Analytics Skills
• Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
• Experience supporting ML models through data engineering and operationalization
• Familiarity with Python ML libraries (scikit learn, pandas, NumPy) – applied from a data engineering perspective
• Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
 
Domain & Soft Skills
• Insurance domain experience (P&C / Specialty Insurance strongly preferred)
• Strong communication skills for onsite customer interaction
• Ability to translate business requirements into scalable data & AI solutions