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Teradata Internship Jobs (NOW HIRING)

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

... Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar * Hands-on experience with ... internships, at all levels of employment.

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

Teradata Internship information

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$9

$17

$23

How much do teradata internship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for teradata internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a Teradata internship?

A Teradata Internship is a temporary, structured opportunity for students or recent graduates to gain hands-on experience working with Teradata, a leading provider of database and analytics-related services. Interns typically work on real-world projects involving data warehousing, big data analytics, and cloud-based solutions, often under the guidance of experienced mentors. The internship is designed to help participants develop technical and professional skills, learn about Teradata products and solutions, and explore potential career paths within the data analytics and IT industry.

What types of projects do Teradata interns typically work on, and how do these projects contribute to their learning experience?

Teradata interns are often assigned to real-world data analytics, cloud solutions, or software engineering projects under the mentorship of experienced professionals. These projects can include data modeling, performance optimization, developing analytics dashboards, or assisting with cloud infrastructure migrations. Interns collaborate with cross-functional teams, allowing them to gain practical experience in both technical skills and teamwork. This hands-on exposure not only enhances their technical proficiency with Teradata's platforms but also builds valuable problem-solving and communication skills that are highly regarded in the industry.

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

To thrive as a Teradata Intern, you typically need a background in computer science or related fields, with foundational knowledge of databases, SQL, and data analytics. Familiarity with Teradata tools, data warehousing concepts, and programming languages such as Python or Java is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns contribute meaningfully to projects and collaborate with teams. These skills enable interns to quickly adapt, maximize their learning, and add value to Teradata's data-driven environment.

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

AspectTeradata InternshipData Analyst Internship
Required CredentialsRelated coursework, basic SQL, data management knowledgeStatistics, data analysis, SQL skills
Work EnvironmentCorporate, technology-focused, collaborative teamsBusiness settings, analytical teams, project-based
Employer & Industry UsageTech companies, data-driven firms, consultingFinance, marketing, healthcare, tech
Common Search & ComparisonYesYes

Both internships involve working with data, SQL, and analytics tools. A Teradata Internship typically emphasizes experience with Teradata systems and data warehousing, while a Data Analyst Internship focuses on analyzing data to support business decisions. The choice depends on your career goals—specializing in Teradata technologies or broader data analysis roles.

More about Teradata Internship jobs

What cities are hiring for Teradata Internship jobs?

Cities with the most Teradata Internship job openings:

What are the most commonly searched types of Teradata jobs?

The most popular types of Teradata jobs are:

What states have the most Teradata Internship jobs?

States with the most job openings for Teradata Internship jobs include:

Infographic showing various Teradata Internship job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Quant Analytics [Multiple Positions Available]

Fairygodboss

Columbus, OH • On-site

$120 - $190/hr

Other

Medical, Retirement

Posted 12 days ago


Job description

DESCRIPTION:

Duties:

Apply strategic, data science and quantitative skills within Regulatory Operations including Suspicious Activity Reporting, Know Your Customer processes, fraud detection, dispute resolution, and credit bureau furnishing compliance. Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities and opportunities. Develop knowledge of operational processes managed within the pillar and help uncover opportunities for data analysis and automation. Partner with subject matter experts and management to deliver automation solutions from idea conception through implementation. Manage data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm. Invent creative and innovative ways to answer key business questions by leveraging analytics and automation to improve efficiency and productivity of business users through automation and self-service. Shorten the analytics development lifecycle and increase the velocity at which analysts can disseminate insights. Socialize, promote, and support the implementation of the analytic solution, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including automation solutions, dashboards, reports, adhoc requests, deep dives, and industry study research. Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations. Build and deploy machine learning models including classification models, predictive models, and recommendation systems to identify patterns in financial transactions, credit bureau data, and operational data. Research and evaluate emerging analytical technologies and AI methodologies to identify opportunities for business process improvement and automation. Utilize behavioral analytics techniques to analyze customer behavior patterns and identify anomalies in operational processes. Design and develop ETL procedures to combine complex high volume data from multiple sources including credit bureau data and create interactive dashboards and reports using business intelligence tools. Lead and manage a team of Quantitative Analysts, including assigning tasks, providing technical guidance, conducting performance reviews, and ensuring timely project delivery. This position requires 15% domestic travel to JPMC U.S. offices for internal meetings.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Computer Science, Computer Information Systems, Business Analytics, Data Science, Data Analytics, Advanced Analytics or related field of study plus 5 years of experience in the job offered or as Quant Analytics Associate Sr, Data Reporting Analyst, Data Scientist, Advisory Associate Solution Advisor, or related occupation. Experience in the occupation may be gained through professional work experience, graduate work experience, or internships.

Skills Required:

This position requires experience with the following: Building supervised machine learning models including logistic regression, multivariate regression, classification techniques, cohort analysis, associative rule mining, and predictive modeling; Advanced techniques including graph analytics, node embeddings, dimensionality reduction, and recommendation systems; Behavioral analytics for identifying patterns and trends in large datasets; Conducting research to explore open-ended analytical problems and designing machine learning solutions; Leading analytical projects end-to-end from problem definition and hypothesis formulation through data analysis, model development, implementation, and stakeholder presentation; Python for data manipulation, automation, machine learning development, and text mining using NLTK; SQL for query optimization and database management; Tableau for end-to-end dashboard development and deployment on Tableau Server; SAS for statistical analysis and production pipelines; Alteryx for workflow automation and ETL procedures; Excel and VBA for interactive reports including lookup, index match, pivots, and data analysis add-ons; On-premises databases including Teradata and Oracle, and Cloud platforms including AWS and Snowflake; Automation tools including Alteryx and Python; and SharePoint. Experience in the occupation may be gained through professional work experience, graduate work experience, or internships.

Job Location:

3401 Morse Xing, Columbus, OH 43219. This position requires 15% domestic travel to JPMC U.S. offices for internal meetings. Telecommuting not permitted.

Full-Time.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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