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Python Analytics Jobs in New Jersey (NOW HIRING)

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... to analyze complex data from multiple sources and objectively make reasoned judgment. Task ...

RSD Solutions

Developer - Python

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Develop and maintain server-side applications, APIs, and scripts using Python. Collaborate with ... Strong analytical thinking and ability to work independently or in agile teams.

RSC Solutions

Developer - Python

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Responsible for building, testing, and deploying scalable software solutions using Python. This ... Strong analytical thinking and ability to work independently or in agile teams.

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Responsible for data extraction and analysis from structured and unstructured sources, while ... Design, develop, and implement scalable backend systems using Python, with a focus on microservices ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Focuses on developing robust Python-based services, APIs, and data processing systems that support ... Responsible for data extraction and analysis from structured and unstructured sources, while ...

Tech Tammina

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer First IT Solutions Technical/Functional Skills: The job involves designing and ... Analytical and Problem-Solving Skill Experience in understanding the business area and user ...

Scalence L.L.C.

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

C. is seeking a Python Developer to support Global Markets regulatory reporting applications ... The role involves requirement analysis, development, unit testing, and delivery of critical ...

Mindlance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Senior Data Analytics Engineer Minimum 15+ years of data analytics experience in core development using Python and database technologies. Strong hands-on Python coding skill with experience in ...

Axelon

Python Backend

Jersey City, NJ · On-site

Python Backend Developer Global Financial Firm located in Jersey City, NJ has an immediate contract ... Drive resolution of complex technical challenges through analysis of system flows and business ...

VDart

Python Migration Engineer

Jersey City, NJ · On-site

... analysis through production cutover. Migrate legacy Perl scripts to Python with focus on maintainability and reusability Develop Python frameworks for FTPSFTP file ingestion data processing and ...

New

ACI Infotech

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Greeting from ACI Python Developer with AWS USC / GC H1B Transfers are accepted * 8 years software ... Experience with continuous integration, unit testing, static analysis, and automated integration ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Conch Technologies Inc

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6 ... Strong analytical, troubleshooting, and problem-solving skills * Excellent communication and ...

ACI Infotech

Python Developer

Jersey City, NJ · On-site

$52.25 - $72/hr

Greeting from ACI Python Developer with AWS USC / GC H1B Transfers are accepted * 8 years software ... Experience with continuous integration, unit testing, static analysis, and automated integration ...

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All JobsPython Analytics JobsPython Analytics Jobs in New Jersey

Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in New Jersey? For Python Analytics jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in New Jersey look for? The top searched job categories for Python Analytics jobs in New Jersey are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in New Jersey as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Lead Analytics Role with Python, Java, Rest API

Lead Analytics Role with Python, Java, Rest API

Staffingine LLC

Jersey City, NJ • On-site

$146K - $179K/yr

Contractor

Re-posted 26 days ago

Job description

Title : Lead Analytics Role with Python, Java, Rest API

Exp Required: 10+ Years

Location: Jersey City, NJ (Hybrid)

Job Description

  • Highly experienced candidate with a minimum of 10 years of expertise in application design coding testing maintenance and debugging
  • Experience creating and maintaining Conceptual Logical and Physical data models
  • Experience in building data pipelines designing data models and architecting data systems from the ground up
  • Skilled in developing Python APIs and writing code for loading and processing data
  • Experience in writing complex SQL queries stored procedures functions and query optimization performance tuning
  • Strong proficiency in Java REST Microservices Spring Boot and API gateway
  • Experience working with various cloud technologies including AWS Azure GCP Snowflake Spark and their associated tools
  • Ability to identify opportunities to reuse data and reduce redundancy across the enterprise
  • Experience with GitGitHub
  • Experience with DevOps tools like Jira Confluence and CICD pipelines Jenkins
  • Experience with messaging technologies such as Kafka as well as queuing technologies and other related tools

Mandatory Skills : CI/CD Architecture, Java, Python

Strong analytical skills

  • Candidate must be willing to take full ownership of projects covering discovery analysis technical design and implementation testing and deployment tasks
  • Must demonstrate good communication skills and be comfortable working closely with senior quantitative analysts risk analysts and business partners
  • A strong desire to document and share work done to aid in long term support
  • Candidate must be a selfstarter a dependable partner and team player
  • Special Knowledge
  • Experience working in the finance industry
  • Experience with market data vendors Bloomberg Markit ICEBAML SP Moodys Fitch Russell Intex JPM Factset State Street CRD and Yieldbook
  • Experience working on distributed system and handling processing of largescale data trades risk market data etc
  • Knowledge of fixed income analytics for asset types such as corporate bonds Treasuries Derivatives Sovereigns Bank Loans MBS ABS and CLO
  • Proficient in managing foundational data including security master entity master and account master