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Python Data Analyst Jobs in New Jersey (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 learning ...

Write and maintain Python web-scraping scripts to safely harvest relevant web data. * Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring ...

Showing results 21-40

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 Sep 10, 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.

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 are popular job titles related to Python Data Analyst jobs in New Jersey?

For Python Data Analyst jobs in New Jersey, the most frequently searched job titles 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,899 per year, or $40.3 per hour.

Technology Lead Python Data Engineer - Vice President

Rutherford, NJ • On-site

Citigroup, Inc.
Banking and Credit Intermediation • 5 - 10K employees

$142K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz


Job description

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.
Discover Your Future in Credit Risk Technology
Build systems that shape credit decisions-at scale.
Join a fast-moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real-world financial impact. We operate with a startup mindset-ownership, speed, and experimentation-within the rigor and responsibility of a global financial institution. You'll help design and deliver mission-critical platforms that support credit risk assessment, analytics, and decisioning across the firm.
Job Overview
The Technology Lead Python Data Engineeris a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant.
This role blends hands-on development, system architecture, technical leadership, and AI-enabled innovation, with a strong emphasis on microservices, cloud-native design, and enterprise-grade governance.
Key Responsibilities
  • Architect, design, and deliver scalable, Python-based applications supporting credit risk analytics, workflows, and reporting.
  • Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.
  • Resolve high-impact, complex initiatives through deep analysis of business processes, system flows, and industry standards.
  • Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.
  • Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
  • Design and evolve microservices-based architectures, ensuring scalability, resiliency, observability, and maintainability.
  • Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.
  • Serve as technical leader and mentor, coaching mid-level engineers and analysts and allocating work as needed.
  • Apply sound risk and control judgment, ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

How You'll Work
  • Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.
  • Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.
  • Balance experimentation with responsibility in a high-trust, high-impact environment.
  • Adapt quickly as priorities change while maintaining long-term system integrity.

Qualifications
  • 6 + years of experience in application development or systems engineering within complex environments.
  • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
  • Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
  • Proven expertise designing and implementing microservices architectures, including service decomposition, inter-service communication, resiliency patterns, and observability.
  • Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.
  • Deep understanding of system architecture, data flows, and distributed systems.
  • Experience working in Linux environments, including shell scripting and operational troubleshooting.
  • Strong track record implementing unit testing, TDD, and automated quality controls.
  • Subject Matter Expert (SME) in at least one application, platform, or service domain.
  • Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta.
  • Experience designing or contributing to LLM-enabled solutions (e.g., copilots, workflow automation, analytics augmentation).
  • Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.
  • Exposure to modern "vibe coding" practices-leveraging AI-assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor.

Bonus / Differentiating Skills
  • Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).
  • Hands-on experience with graph databases, particularly Neo4j, for network, relationship, or dependency-driven use cases.
  • Background in credit risk, financial risk management, or banking platforms.
  • Experience modernizing or decomposing legacy monolithic systems in large enterprises.
  • Proven delivery of GenAI / AI-driven solutions in regulated or large-scale environments.

Education
  • Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Rutherford New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Sep 04, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US