As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision ... Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark). * Strong mathematical ...
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As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision ... Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark). * Strong mathematical ...
This is a general posting for multiple intern roles open across our various ML teams. You can find ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
This is a general posting for multiple intern roles open across our various ML teams. You can find ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
This is a general posting for multiple intern roles open across our various ML teams. You can find ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
This is a general posting for multiple intern roles open across our various ML teams. You can find ... Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing ...
Throughout the summer, the intern will contribute to a wide range of high-profile events, including ... Complete administrative tasks such as scheduling, data entry, and inventory tracking * Take on a ...
Throughout the summer, the intern will contribute to a wide range of high-profile events, including ... Complete administrative tasks such as scheduling, data entry, and inventory tracking * Take on a ...
Big Data Intern information
See Springfield, MA salary details
$8.86 - $10.26
3% of jobs
$10.26 - $11.65
3% of jobs
$11.65 - $13.04
3% of jobs
$13.04 - $14.44
9% of jobs
$14.89 is the 25th percentile. Wages below this are outliers.
$14.44 - $15.83
21% of jobs
The median wage is $16.41 / hr.
$15.83 - $17.23
26% of jobs
$18.33 is the 75th percentile. Wages above this are outliers.
$17.23 - $18.62
13% of jobs
$18.62 - $20.01
12% of jobs
$20.01 - $21.41
4% of jobs
$21.41 - $22.80
3% of jobs
$22.80 - $24.19
3% of jobs
$8
$16
$24
How much do big data intern jobs pay per hour?
As of Jul 25, 2026, the average hourly pay for big data intern in Springfield, MA is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.
What is the difference between Big Data Intern vs Data Analyst Intern?
| Aspect | Big Data Intern | Data Analyst Intern |
|---|---|---|
| Required Skills | Basic knowledge of big data tools (Hadoop, Spark), programming (Python, SQL) | Data analysis, visualization, SQL, Excel |
| Work Environment | Data engineering teams, big data platforms | Business intelligence teams, data reporting |
| Industry Usage | Tech, finance, healthcare with large datasets | Retail, marketing, finance for data insights |
Big Data Interns focus on working with large-scale data processing tools and platforms, often in engineering environments. Data Analyst Interns primarily analyze and visualize data to support business decisions. Both roles require some programming and data skills but differ in their focus and tools used.
What are the key skills and qualifications needed to thrive as a Big Data Intern, and why are they important?
To thrive as a Big Data Intern, you typically need foundational knowledge in computer science, statistics, and data analysis, often supported by coursework or relevant academic projects. Familiarity with programming languages such as Python or Java, data processing tools like Hadoop or Spark, and experience with databases are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out when collaborating on projects and interpreting data insights. These skills are crucial for efficiently analyzing large datasets, contributing to team objectives, and developing practical solutions to real-world data challenges.
What kinds of projects and tasks can I expect to work on as a Big Data Intern?
As a Big Data Intern, you’ll typically assist with collecting, cleaning, and analyzing large datasets using tools like Hadoop, Spark, or SQL. You may support building data pipelines, performing exploratory data analysis, and visualizing insights to help teams make data-driven decisions. Interns often collaborate closely with data engineers, analysts, and other team members, gaining exposure to real-world data challenges and agile project workflows. These experiences provide valuable technical skills and networking opportunities that can lead to full-time roles after graduation.
What does a Big Data Intern do?
A Big Data Intern assists data engineering and analytics teams by helping to collect, process, and analyze large-scale datasets. They often support tasks such as data cleaning, running queries, working with big data tools like Hadoop or Spark, and creating basic reports or visualizations. This role provides hands-on experience with real-world data challenges and helps interns develop technical skills in big data technologies. Interns may also participate in team meetings, contribute to ongoing projects, and learn best practices in data security and management.
Internship
Posted 9 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.