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Python Data Analyst Jobs in New Jersey (NOW HIRING)

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ

... such as SQL, Python, and reporting systems. This role is a fast-paced position that involves ... Work on a team of developers, analysts, and consultants focused on data acquisition and migration

Edmunds GovTech

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

... such as SQL, Python, and reporting systems. This role is a fast-paced position that involves ... Work on a team of developers, analysts, and consultants focused on data acquisition and migration

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site +1

$95K - $110K/yr

... Python scripts, and BI dashboards to automate recurring reporting and analytics tasks. • Ensure data integrity across systems and proactively identify discrepancies or anomalies. • Translate ...

Zortech Solutions

Data Analyst

Clark, NJ · On-site

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required ... VBA, python, XML) * Working knowledge of ETL * Experience in Managing scientific data Desired ...

Kearny Bank

Data Analyst

Fairfield, NJ · On-site

$75K - $110K/yr

Professional experience with Python for data analysis or data science preferred.Experience with Microsoft Fabric SaaS, cloud platforms, CRM systems (e.g., Salesforce or Dynamics), Snowflake, and ...

Kearny Bank

Data Analyst

Fairfield, NJ · On-site

$75K - $110K/yr

Professional experience with Python for data analysis or data science preferred.Experience with Microsoft Fabric SaaS, cloud platforms, CRM systems (e.g., Salesforce or Dynamics), Snowflake, and ...

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

AvePoint

Data Analyst

Jersey City, NJ

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

Kearny Bank

Data Analyst

Fairfield, NJ · On-site

$75K - $110K/yr

Professional experience with Python for data analysis or data science preferred.Experience with Microsoft Fabric SaaS, cloud platforms, CRM systems (e.g., Salesforce or Dynamics), Snowflake, and ...

Walmart

Data Analyst II

Hackensack, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Data Analyst II

Fort Lee, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Data Analyst II

Kearny, NJ · On-site

$84K - $156K/yr

... big data analytics automation techniques and methods Business understanding Precedence and use ... tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in New Jersey

Python Data Analyst information

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$34.5K

$83.9K

$138.1K

How much do python data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for python data analyst in New Jersey is $83,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in New Jersey as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,899 per year, or $40.3 per hour.

Data Analyst

Tata Consultancy Service Limited

Jersey City, NJ • On-site

$100K - $125K/yr

Full-time

Posted 15 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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