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Python Data Analysis Internship Jobs in New York

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

Data Analyst

Brooklyn, NY · On-site

$65K - $75K/yr

Data Analysis & Reporting: Analyze large, complex datasets using SQL, SAS, or R to identify health ... Strong skills in SQL, data visualization tools, and statistical software (SAS, R, or Python) * Data ...

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... analysis using programming languages such as Python or R. * Contribute to statistical analysis ... This is a paid internship opportunity. * Remote work options are available. * You will receive ...

Data Engineer - AWS, Python, SQL

Jersey City, NJ · On-site

$119.50K - $143.50K/yr

... analytics space. 1-2 years of experience in developing data applications in Cloud (AWS). Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... reporting and business analysis * Strong stakeholder communication and cross-functional ...

This internship is an excellent opportunity for a student who is developing strong analytical and ... Exposure to one or more programming or analysis tools such as Python or R (academic or personal ...

Data Analyst Intern

Teaneck, NJ · On-site

$20 - $25/hr

This internship is an excellent opportunity for a student who is developing strong analytical and ... Exposure to one or more programming or analysis tools such as Python or R (academic or personal ...

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Python Data Analysis Internship information

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 the most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What are popular job titles related to Python Data Analysis Internship jobs in New York? For Python Data Analysis Internship jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in New York look for? The top searched job categories for Python Data Analysis Internship jobs in New York are:
What cities in New York are hiring for Python Data Analysis Internship jobs? Cities in New York with the most Python Data Analysis Internship job openings:

Data Analyst Internship

FDR Financial Group

New York, NY • Remote

Full-time

Posted 9 days ago


Job description

Description

We are looking for a Data Analyst Intern to join FDR Financial Group, a leading financial services company. As a Data Analyst Intern, you will play a crucial role in analyzing and interpreting complex data sets to help drive business decisions and strategies. This internship offers a valuable opportunity to gain hands-on experience in the financial industry and develop essential analytical skills.

As a Data Analyst Intern at FDR Financial Group, you will work on a variety of projects involving data collection, cleansing, and visualization. Your insights and recommendations will directly impact the company's operations and contribute to its overall success. This role is ideal for individuals interested in data analysis, financial services, and gaining practical experience in a dynamic remote work environment.

Responsibilities:
  • Collect and analyze data to identify trends and patterns.
  • Assist in preparing reports and presentations based on data findings.
  • Collaborate with team members to support data-driven decision-making processes.
  • Conduct quality assurance checks on data to ensure accuracy and reliability.
  • Utilize data visualization tools to present information in a clear and concise manner.
  • Assist in developing and maintaining databases for data storage and retrieval.
  • Support the implementation of data analytics solutions and strategies.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent attention to detail and accuracy in data interpretation.
  • Ability to work independently and collaboratively in a team environment.
  • Good communication skills to present findings and insights effectively.
  • Basic understanding of financial concepts and terminology is a plus.
  • Strong problem-solving skills and a proactive attitude towards learning.