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Python Data Analysis Jobs in New York (NOW HIRING)

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 5+ years applied experience • bachelor's degree required • Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data structures • algorithms ...

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How much do python data analysis jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python data analysis in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

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:

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For Python Data Analysis jobs in New York, the most frequently searched job titles are:

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What cities in New York are hiring for Python Data Analysis jobs?

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Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Data Engineer

Syntricate Technologies

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and SQL.
Responsibilities:
• Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
• This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
• Should have Datalake Experience
Qualifications:
Required:
• 5+ years applied experience
• bachelor's degree required
• Python Programming
• Strong skills around object-oriented analysis and design (OOAD)
• data structures
• algorithms
• design patterns
• Hands-on practical experience in system design
• application development
• testing
• operational stability
• Advanced understanding of agile methodologies such as CI/CD
• Application Resiliency
• Security
• Proficient in coding in Python
• PySpark
• Java 17/21
• Spring Boot
• SQL Databases
• Prior hands-on experience in Cloud technologies - AWS, AZURE
• Strong in Python, Spark, Pyspark, AWS, SQL
• Strong in SQL
• Creating a pipeline and writing in Pyspark
• Migrating from legacy platform to new platform
• MUST BE STRONG IN AWS
• Datalake Experience
• Leads MUST be strong in both java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
• Other 3 resources need to be strong in Python/Spark/Pyspark
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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