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Internship Data Analytics Graduate Jobs in Dallas, TX

builders

IT Internship - Remote (Summer 2027)

Irving, TX · On-site +1

This internship provides hands-on experience applying data-driven solutions to business challenges ... Assists with data analytics, data science, AI, and master data management projects in support of ...

New

CGI Inc.

Data Analyst - Entry Level

Dallas, TX · On-site

Graduate Position Description: Are you passionate about uncovering insights that drive smarter ... You'll gain hands on experience with modern analytics tools and technology enabled workflows ...

RSM

Data Audit Manager

Dallas, TX · On-site

$78/hr

Data Audit Manager RSM is seeking experienced data, analytics, and reporting professionals to ... S. college / university graduate possessing 1-2 years of progressive and relevant work experience ...

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All JobsData Analytics Graduate JobsInternship Data Analytics Graduate JobsInternship Data Analytics Graduate Jobs in Dallas, TX

Internship Data Analytics Graduate information

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$41

How much do internship data analytics graduate jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship data analytics graduate in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What is an internship data analytics graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during an internship data analytics graduate?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an internship data analytics graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

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

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Dallas, TX?

The most popular types of Data Analytics Graduate jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Internship Data Analytics Graduate jobs?

Cities near Dallas, TX with the most Internship Data Analytics Graduate job openings:

Internship Data Analytics Graduate jobs near you
Infographic showing various Internship Data Analytics Graduate job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,305 per year, or $22.3 per hour.

IT Internship - Remote (Summer 2027)

builders

Irving, TX • On-site, Remote

Temporary, Internship

Posted 2 days ago

New

Job description

PURPOSE

Gain industry and organizational knowledge through daily business interactions and job assignments while supporting Data Science, Analytics, Artificial Intelligence, and Master Data Management initiatives. Work is performed under direct supervision. This internship provides hands-on experience applying data-driven solutions to business challenges through data analysis, reporting, visualization, machine learning, data governance, and emerging AI technologies. 

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Assists with data analytics, data science, AI, and master data management projects in support of the department. 
  • Performs data gathering, cleansing, validation, and organization activities to support business initiatives, special projects, and reporting needs. 
  • Conducts data research and analysis to identify trends, opportunities, and actionable business insights. 
  • Supports data analysis and master data management initiatives for Supply Chain and Sales functions. 
  • Supports development of business intelligence dashboards, reports, and visualizations using tools such as Power BI or Tableau. 
  • Assists with proof-of-concept (POC) initiatives involving Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). 
  • Writes and executes queries using SQL and may assist with data analysis, AI model development, and reporting using Python or R. 
  • Participates in team meetings, brainstorming sessions, and project reviews. 
  • Works with cross-functional teams to support project goals and business objectives. 
  • Assists in preparing presentations, reports, and recommendations for business stakeholders. 
  • May support data governance, master data management, and enterprise data quality initiatives utilizing platforms such as SAP MDG, Informatica MDM, and Precisely EnterWorks. 

 

MINIMUM REQUIREMENTS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required.

  • Must be actively pursuing a Bachelor's degree in Computer Science, Computer Information Systems, Data Science, Data Analytics, or a related field
  • Preferred GPA of 3.0 or higher.
  • Preferred senior-level student, but will consider other class levels.
  • Exposure to data analytics, SQL, AI/ML concepts, Generative AI, Power BI or Tableau, and programming languages such as Python or R is preferred.
  • Experience or coursework related to data governance, master data management, SAP MDG, Informatica MDM, or Precisely EnterWorks is a plus.

COMPETENCIES

  • Strong oral, written, and communication skills. 
  • Ability to work well with diverse groups of people. 
  • Comfortable talking with and interacting with others. 
  • Knowledgeable in Microsoft Office and Outlook. 
  • Strong analytical and problem-solving skills. 
  • Ability to interpret and communicate data-driven insights. 
  • Interest in Artificial Intelligence, Machine Learning, Data Science, Master Data Management, and emerging technologies. 
  • Working knowledge of SQL, AI/ML, GenAI, Power BI or Tableau, and Python or R preferred. 
  • Familiarity with SAP MDG, Informatica MDM, Precisely EnterWorks, or similar data management platforms preferred. 
  • Ability to manage multiple tasks and work effectively in a collaborative team environment.

 

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