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Python Data Analyst Jobs in Newark, NJ (NOW HIRING)

Data Analyst

New York, NY · On-site +1

$130K - $135K/yr

Query and validate complex datasets using SQL and Python * Analyze large datasets to identify ... Define data needs for targeted and 1:1 campaign execution * Support experimentation frameworks by:

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Experience using Python or other programming languages is a plus * Strong interest in M&A and ...

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Experience using Python or other programming languages is a plus * Strong interest in M&A and ...

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

Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ... Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to ...

... 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 ...

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Job Title: Data Analyst Company: Splendid Farms Location: New York, New York, United States ... Python, R). * A degree in Mathematics, Economics, Computer Science, Information Management ...

Data Analyst

New York, NY · On-site

$55 - $60/hr

Familiarity with data analysis tools such as Excel and Python is preferred. * Exposure to ETL tools, data warehouses, APIs, and file-based integrations. * Strong analytical and problem-solving skills.

Senior Data Analyst

New York, NY · On-site

$98K - $100K/yr

Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction. * Develop ...

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 ...

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Python Data Analyst information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

How much do python data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for python data analyst in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 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.
What are the most commonly searched types of Python Data Analyst jobs in Newark, NJ? The most popular types of Python Data Analyst jobs in Newark, NJ are:
What job categories do people searching Python Data Analyst jobs in Newark, NJ look for? The top searched job categories for Python Data Analyst jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Python Data Analyst jobs? Cities near Newark, NJ with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Newark, NJ as of June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 49% Part Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $86,419 per year, or $41.5 per hour.

$100K - $125K/yr

Full-time

Posted 11 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