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Python Data Analyst Jobs in New Jersey (NOW HIRING)

Opex Corp

Senior Data Analyst

Moorestown, NJ · On-site

$100K - $125K/yr

Expert Python skills in data cleaning, data wrangling, and data analytics. * Outstanding skills in MS Excel and PowerPoint for data exploration and visualization. * Knowledge of material handling ...

Opex

Senior Data Analyst

Moorestown, NJ · On-site

$100K - $125K/yr

Expert Python skills in data cleaning, data wrangling, and data analytics. * Outstanding skills in MS Excel and PowerPoint for data exploration and visualization. * Knowledge of material handling ...

New York Life

Investment Data Analyst

Jersey City, NJ · Hybrid

As an Investment Data Analyst in Product Data Solutions (PDS) Analytics team, you will play a ... Technical proficiency in programming languages such as Python and SQL- as well as familiarity with ...

ConnectiveRx

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$107K - $165K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

ConnectiveRx

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$87K - $109K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

ConnectiveRx

Sr. Manager, Data Analyst

Whippany, NJ · On-site

$87K - $109K/yr

The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ... Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on ...

MJH Life Sciences

Senior Data Analyst

Cranbury, NJ · On-site

$100K - $120K/yr

The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ... Experience with statistical analysis using Python, R, or SAS. * Excellent written and verbal ...

asrcfh

Senior Data Analyst

Moorestown, NJ

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

asrcfh

Senior Data Analyst

Moorestown, NJ

$84K - $107K/yr

We are currently seeking a Senior Data Analyst to join our team in Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

ASRC Federal Holding

Senior Data Analyst

Moorestown, NJ · On-site

$96K - $164K/yr

We are currently seeking a Senior Data Analyst to join our teamin Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in New Jersey

Python Data Analyst information

See New Jersey salary details

$34.5K

$83.9K

$138.1K

How much do python data analyst jobs pay per year?

As of Aug 18, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,899 per year, or $40.3 per hour.

Data Analyst/Data Modeler

Programmers.io

Jersey City, NJ • On-site

Full-time

Re-posted 7 days ago

Job description

Job Description:

Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.

Analyze existing data sources to identify data elements, relationships, and inconsistencies.

Design, develop, and maintain canonical data models and schemas, including positions, trades, collateral, and market data.

Ensure data quality, accuracy, and integrity within the data models, implementing data validation rules and monitoring data flows.

Work closely with data architects, developers, and other analysts to implement data models in various technology platforms.

Document data definitions, data lineage, business rules, and technical specifications for the canonical data models.

Perform data analysis and extract insights from large datasets using tools like SQL, Excel, and potentially Python or R.

Create reports, dashboards, and visualizations to support data governance, data quality, and business understanding of securities finance data.

Participate in testing and validation of data models and data transformations.

Qualifications Required

A Bachelor's degree in a relevant field such as Finance, Economics, Computer Science, or Information Systems is required.

Candidates should have at least 3 years of experience in data or financial analysis, preferably within financial services.

A strong understanding of securities finance, including lending, borrowing, and collateral management, is essential.

Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.

Experience with data modeling tools and methodologies, as well as familiarity with database concepts, is also necessary.

Essential soft skills include strong analytical and problem-solving abilities with attention to detail.

Excellent communication skills for explaining complex data, and the ability to collaborate effectively in a team environment.

A proactive and continuous learning mindset is also value.