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Python Data Analyst Jobs in New Jersey (NOW HIRING)

Covetus, LLC

Data Analyst

Jersey City, NJ · On-site

Programming Languages • Python Data Formats • XML, JSON, Parquet, Avro, Protobuf - Familiarity with multiple serialization/storage formats Data & Query • SQL - Strong query building, analysis ...

Diverse Lynx

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 ...

Prophecy Technologies

Data Analyst

Jersey City, NJ · On-site

Programming languages like Python or R Required Qualifications: * 8+ years of experience in data analysis and visualization * Strong understanding of commercial lending systems like Loan IQ

Seven Seven Software

Data Analyst

Newark, NJ · On-site

... data protection settings • Write technical documentation • Work with actuaries and analysts to ... Python, Pyspark, Java, and JavaScript frameworks (e.g. Angular, React, Node.js) • Strong ...

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ · On-site

... 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

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 ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... Python or similar language for conducting data manipulation and data analysis Qualifications Masters in Computer Science or equivalent Additional Information All your information will be kept ...

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site

$80K - $90K/yr

Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies * Data ... Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python ...

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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 Jun 16, 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you

Data Analyst

Tata Consultancy Service Limited

Jersey City, NJ • On-site

$100K - $125K/yr

Full-time

Posted 5 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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