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Python Data Analyst Jobs in New Jersey (NOW HIRING)

... SQL, Python, R, and other programming languages relevant to data analysis. 3. Managing data-related projects from initiation to completion. 4. Develop mappings of sources to target databases ...

Business Data Analyst

Jersey City, NJ · On-site

$58.26 - $66.26/hr

Programming experience with Python or Java/.Net * Excellent analytical and problem solving skills ... Knowledge of Big Data Architectures and Cloud computing * Knowledge of machine-learning techniques ...

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 ...

Entry Level Python Developer

Union City, NJ · On-site

$55 - $75.75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

Entry Level Python Developer

West New York, NJ · On-site

$54.50 - $75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

Proficiency in data analysis tools (e.g., SQL, Python, R, Excel) to extract, transform, and analyze large datasets * Technical writing experience in relevant areas, including queries, reports, and ...

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 ...

Data Analyst- Channel

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 ...

Experience working with large datasets using SQL, Python, or similar analytical tools. * Strong analytical, problem-solving, and data validation skills. * Ability to communicate complex fixed income ...

Senior Data Analyst

Moorestown, NJ · On-site

$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 ...

Senior Data Analyst

Moorestown, NJ · On-site

$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 ...

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

Senior Data Analyst

Morristown, NJ · On-site

$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

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 ...

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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 Jul 7, 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.
What are the most commonly searched types of Python Data Analyst jobs in New Jersey? The most popular types of Python Data Analyst jobs in New Jersey are:
What job categories do people searching Python Data Analyst jobs in New Jersey look for? The top searched job categories for Python Data Analyst jobs in New Jersey are:
What cities in New Jersey are hiring for Python Data Analyst jobs? Cities in New Jersey with the most Python Data Analyst job openings:
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.

Senior Data Analyst - Cyber Data Operations

NTT DATA North America

Jersey City, NJ • On-site

$94K - $118K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
NTT DATA North America is a trusted global innovator of business and technology services. They are seeking a Senior Data Analyst to support Cyber Data Operations, responsible for analyzing data sources, ensuring data quality, and collaborating with teams to enhance the Cyber Data Warehouse.
Responsibilities:
• Analyze upstream data sources to support ingestion into CyberDW
• Perform data scrubbing and cleansing to ensure accuracy, completeness, and consistency
• Define and document technical/data requirements for development teams
• Collaborate with stakeholders, business teams, and data engineering teams
• Support data loading, transformation, and validation processes within CyberDW
• Develop dashboards, visualizations, and reports using BI tools
• Analyze cyber/security metrics and identify trends and insights
• Support ad hoc data requests and ongoing reporting needs
• Ensure strong data governance, documentation, and process consistency
Qualifications:
Required:
• 10+ years of experience in data analysis, BI, or related roles
• Strong expertise in data analysis, data quality, and data validation
• Advanced proficiency in Excel (pivot tables, formulas, data manipulation)
• Experience with BI tools and reporting frameworks
• Strong stakeholder communication and cross-functional collaboration skills
• High attention to detail and problem-solving abilities
Preferred:
• SQL and relational databases
• Python for data analysis and automation
• BI tools: Power BI, Tableau, or Google Data Studio (Looker Studio)
• Experience in data source analysis and large datasets
• Exposure to Cyber Data Warehouse (CyberDW) or enterprise data warehouses
• Knowledge of data governance and privacy principles
Company:
NTT DATA, Inc. is a trusted global innovator of business and technology services. Founded in 1988, the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.