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Python Data Analyst Jobs in New Jersey (NOW HIRING)

MSS MJH Shared Services

Data Analyst

Cranbury, NJ · Hybrid

$65K - $70K/yr

Demonstrated coding experience in at least one general-purpose language (Python strongly preferred ... Strong skills in Excel and data manipulation. * Ability to analyze complex datasets and translate ...

SAIC

Metrics Data Analyst

Lakehurst, NJ · Hybrid

$80K - $120K/yr

ORA_ON_SITE Description SAIC is in need of a Metrics Data Analyst/Database Developer to support our ... Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security ...

SAIC

Metrics Data Analyst

Lakehurst, NJ · On-site

$80K - $120K/yr

Description SAIC is in need of a Metrics Data Analyst/Database Developer to support our Aircraft ... Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security ...

SAIC

Metrics Data Analyst

Lakehurst, NJ · Hybrid

$80K - $120K/yr

The Data Analyst shall develop documents and scripts supporting load methods, data verifications ... Python Development or R Development * Knowledge of Microsoft SharePoint * CompTia Security ...

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 ...

Barclays

Data Analyst, AVP

Whippany, NJ

Through data-driven analysis, translate analytical findings into actionable business ... Build and utilize reporting in a range of tools including SQL, Python, Alteryx & Tableau ...

ChaTeck Incorporated

Senior Data Analyst

Morristown, NJ

$88K - $111K/yr

Proficiency in Python or R for data wrangling, automation, or analytical scripting * Experience working in regulated industries such as financial services, healthcare, retail, or government

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 ...

Lingraphica

Sr. Data Analyst

Princeton, NJ · On-site

$91K - $107K/yr

Python for data analysis or transformation. * Exposure to ML workflows or forecasting models. * Experience with Git, CI/CD, and data testing frameworks. * Experience in healthcare, medtech, or ...

exogroup

Junior Data Analyst

Barnegat, NJ · On-site +1

Role As a Junior Data Analyst you will be part of the Analytics team at EXOGROUP, which is a highly ... You have programming experience in Python. * You are familiar with SQL and Git. * Experience with ...

Canon U.S.A., Inc.

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Canon U.S.A., Inc.

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Canon U.S.A., Inc.

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

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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.
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Python Data Analyst jobs near you
Data Analyst/Data Modeler

Data Analyst/Data Modeler

Programmers.io

Jersey City, NJ • On-site

Full-time

Posted 4 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.