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Data Analytics Internship Jobs in Suffield, CT (NOW HIRING)

Danaher

Digital Analyst Internships

Springfield, MA · On-site

$98K - $116K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Hartford, CT · On-site

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Springfield, MA

$98K - $116K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Danaher

Digital Analyst Internships

Hartford, CT

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Cvshealth

Actuarial Corporate Internship

Hartford, CT · Hybrid

$26 - $40/hr

Our Corporate Interns can apply for future full-time roles during the program and have an increased ... Actuarial Science, Analytics, Data Science, Economics, Engineering, Mathematics, Risk Management ...

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All JobsData Analytics JobsData Analytics Internship JobsData Analytics Internship Jobs in Suffield, CT

Data Analytics Internship information

See Suffield, CT salary details

$11

$21

$40

How much do data analytics internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics internship in Suffield, CT is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

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

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
What cities near Suffield, CT are hiring for Data Analytics Internship jobs? Cities near Suffield, CT with the most Data Analytics Internship job openings:
Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in Suffield, CT as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,481 per year, or $21.9 per hour.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 22 days ago

Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.