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Python Data Analysis Internship Jobs in Weehawken, NJ

Business Analyst

Manhattan, NY · On-site

$60 - $75/hr

Knowledge of SQL/Python * Data analysis skills including experience with Data Mapping & Data Lineage * Prior Banking/Financial experience Day to day: * Analyze data issues and perform root cause ...

Python Programming * Data Analysis * Statistical Modeling * Product Analytics ATS Optimization KeywordsHard Skills * Data Analysis * Trend Analysis * Statistical Techniques * Machine Learning

New

Python Developer

New York, NY

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

SA Technologies Inc. is seeking a Python Developer to support the implementation and use of a ... data analysis. Responsibilities : • Understand the existing framework and enhance/automate to ...

Showing results 41-60

Python Data Analysis Internship information

See Weehawken, NJ salary details

$13

$24

$45

How much do python data analysis internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data analysis internship in Weehawken, NJ is $24.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What are popular job titles related to Python Data Analysis Internship jobs in Weehawken, NJ?

For Python Data Analysis Internship jobs in Weehawken, NJ, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis Internship jobs in Weehawken, NJ look for?

The top searched job categories for Python Data Analysis Internship jobs in Weehawken, NJ are:

What cities near Weehawken, NJ are hiring for Python Data Analysis Internship jobs?

Cities near Weehawken, NJ with the most Python Data Analysis Internship job openings:

Infographic showing various Python Data Analysis Internship job openings in Weehawken, NJ as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $50,876 per year, or $24.5 per hour.

Lead Software Engineer - Python/ Data

J.P. Morgan

Jersey City, NJ

Full-time

Medical, Retirement

Re-posted 13 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Corporate Technology in Financial Planning & Analysis team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

  • Develops secure and high-quality production code, and reviews and debugs code written by others

  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

  • A. Formal training or certification on software engineering concepts and 5+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong)
    B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
    C. Singapore follow local country guidance

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Advanced in one or more programming languages including Java, Python, or Scala.

  • Good understanding of the AWS platform, including its core services, architecture best practices, and security features.
  • Extensive experience with big data technologies, including Apache Spark, for large-scale data processing and analytics.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • Proficient in all aspects of the Software Development Life Cycle

  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • In-depth knowledge of the financial services industry and their IT systems
    Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Exposure to Databricks
  • Experience with data visualization and business intelligence platforms.
  • Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.