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Python Data Analysis Internship Jobs in Newark, DE

Data Engineers

Wilmington, DE

$111.10K - $133.40K/yr

If they don't have Python, but solid Java and Py-Spark, will consider that CI/CD pipeline with Jenkins 5+ years experience with Data Engineering Good understanding of data and data analysis, how data ...

Python - Basic

Wilmington, DE · On-site

$48.75 - $67.25/hr

Junior Analyst to support client's Risk and Control organization through data-driven reporting ... Python development and analytics - Write clean, production-oriented Python code to ingest ...

Employ statistical analysis and data visualization tools to effectively extract insights and ... Algorithm writing experience with Python and similar AI / ML languages desired. * Familiarity with ...

Data Engineer

Wilmington, DE

$111.10K - $133.40K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

... and Data Lake Storage Experience with continuous integration/continuous deployment (CI/CD ... analytical abilities

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

... and Data Lake Storage Experience with continuous integration/continuous deployment (CI/CD ... analytical abilities

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

... and Data Lake Storage Experience with continuous integration/continuous deployment (CI/CD ... analytical abilities

This internship offers an exciting opportunity to apply academic knowledge to real-world challenges ... Conduct research, gather and analyze data, and contribute to the development of technical reports ...

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Python Data Analysis Internship information

See Newark, DE salary details

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

As of Jun 1, 2026, the average hourly pay for python data analysis internship in Newark, DE is $22.00, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

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 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 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 Newark, DE? For Python Data Analysis Internship jobs in Newark, DE, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Newark, DE look for? The top searched job categories for Python Data Analysis Internship jobs in Newark, DE are:
Trusts and Estates Tax Data Analyst

Trusts and Estates Tax Data Analyst

JP Morgan Chase

Newark, DE • On-site

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

47th of 141 rated banks


Job description

Join a results-driven, collaborative data team embracing automation and AI to take our work-and your career-to the next level. As a Tax Data Analyst supporting fiduciary income tax return preparation and filing, you will strengthen control and reduce risk through rigorous data analysis, review, reconciliation, and validation. You will partner closely with internal stakeholders and our tax vendor to improve data quality and drive faster, more accurate outcomes. This role offers meaningful exposure to tax operations, strong mentorship, and clear opportunities to grow your scope over time.

As a Tax Data Analyst within the Trusts & Estates Tax Operations team, you will support the preparation and filing of fiduciary income tax returns by performing data analysis, review, reconciliation, and validation in partnership with our tax vendor. You'll help improve data quality and strengthen controls to reduce operational risk and enable accurate, timely filings. You will work on a collaborative, detail-oriented team that values continuous improvement and thoughtful problem-solving. You will contribute to process enhancements and automation to increase efficiency and scalability. You'll also build practical skills in tools such as Alteryx, Tableau, and Python, with opportunities to grow your scope over time. 

Job Responsibilities

  • Review, reconcile, and validate data to ensure integrity and support accurate tax processing and reporting
  • Identify automation opportunities and recommend enhancements that improve efficiency and reduce risk
  • Support process-improvement projects, including documentation, testing, and implementation activities
  • Develop and maintain documentation for automation requirements, implementation, testing, and written procedures
  • Produce and maintain recurring metrics and performance reporting (e.g., volume, timeliness, and quality), including dashboard updates and stakeholder-ready summaries
  • Support ad hoc data requests to assist team members

Required qualifications, capabilities and skills

  • Bachelor's degree (Accounting, Finance, or related field)
  • Proficiency with Microsoft applications, including Word, Excel, PowerPoint, and Teams
  • Strong critical thinking and data curiosity with an automation mindset
  • Highly detail-oriented with strong research skills and a commitment to quality
  • Excellent communication and interpersonal skills, with the ability to clearly escalate and explain data issues to partners
  • Ability to act with urgency and sound judgment to meet time-sensitive tax deadlines
  • Flexibility to work extended hours, as needed, for key tax deadlines

Preferred qualifications, capabilities and skills

  • Two or more years of relevant experience in operations, data analysis, or tax-related support roles
  • Experience with Alteryx, Tableau, and/or Python for reporting or automation
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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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