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Internship Data Visualization Intern Jobs in Connecticut

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Internship Data Visualization Intern information

What is the difference between Internship Data Visualization Intern vs Data Analyst Intern?

AspectInternship Data Visualization InternData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python)
Work EnvironmentCollaborative, project-based, often in tech or marketing firmsResearch-focused, cross-departmental, in various industries
Typical EmployerTech companies, marketing agencies, consulting firmsFinancial institutions, healthcare, tech companies

While both roles involve working with data, the Internship Data Visualization Intern primarily focuses on creating visual representations of data to communicate insights, whereas the Data Analyst Intern performs broader data analysis tasks, including statistical evaluation and data cleaning. The visualization intern role emphasizes tools like Tableau or Power BI, while the analyst role requires skills in SQL or Python. Both internships are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects does a data visualization intern typically work on during their internship?

As a Data Visualization Intern, you can expect to work on a variety of projects that involve transforming raw data into compelling visual stories. Typical responsibilities include assisting with the creation of dashboards, charts, and interactive reports to help different teams make data-driven decisions. Interns often collaborate closely with data analysts, UX designers, and other stakeholders to ensure that visualizations are both informative and user-friendly. These experiences not only build technical skills in tools like Tableau or Power BI but also strengthen communication and teamwork abilities, which are highly valued in the field.

What are the key skills and qualifications needed to thrive as a data visualization intern, and why are they important?

To thrive as a Data Visualization Intern, you generally need a foundation in data analysis, understanding of visualization principles, and coursework or experience in statistics or computer science. Familiarity with tools such as Tableau, Power BI, or D3.js, as well as proficiency in programming languages like Python or R, is typically expected. Strong attention to detail, creativity, and effective communication skills help you transform complex data into clear, actionable visuals. These skills enable you to present insights in a compelling way, supporting informed decision-making and effective storytelling within the organization.

What does a data visualization intern do?

A Data Visualization Intern assists in transforming raw data into visual formats such as charts, graphs, and dashboards to help organizations understand trends and make data-driven decisions. They work with tools like Tableau, Power BI, or Python libraries to create visual representations of data, often collaborating with data analysts and other team members. Their responsibilities may also include cleaning data, preparing reports, and presenting findings in a clear and accessible manner. This role is ideal for students or recent graduates interested in data analytics, design, and technology.

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Internship Data Visualization Intern jobs near you

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 24 days ago

Job description

Application Deadline: September 1st at 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge analytics platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.
Responsibilities:
  • Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization.
  • Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows.
  • Build and enhance Python-based microservices and APIs for internal data access and operations automation.
  • Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
  • Participate in cloud-native application development using AWS services, including Kubernetes and Kafka.
  • Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
  • Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows.

Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Familiarity with version control tools (e.g., Git) and software development best practices.
  • Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems.
  • Excellent communication skills and ability to work in a fast-paced, collaborative environment.Top of Form

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