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Data Analytics Internship Jobs in Oklahoma (NOW HIRING)

Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands‑on experience acceptable). Experience working with structured ...

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Data Analyst

Oklahoma City, OK · On-site

$65 - $85/hr

Experience:2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable).Experience working with structured ...

New

Professional or educational experience working with data and analytics * Experience presenting data, analysis, or recommendations through coursework, internships, projects, or professional experience

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

Showing results 21-40

Data Analytics Internship information

See Oklahoma salary details

$11

$20

$38

How much do data analytics internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics internship in Oklahoma is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.64 per hour, depending on experience, location, and employer.

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 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 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 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 does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What are the most commonly searched types of Data Analytics jobs in Oklahoma?

The most popular types of Data Analytics jobs in Oklahoma are:

What are popular job titles related to Data Analytics Internship jobs in Oklahoma?

For Data Analytics Internship jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Data Analytics Internship jobs?

Cities in Oklahoma with the most Data Analytics Internship job openings:

Infographic showing various Data Analytics Internship job openings in Oklahoma as of August 2026, with employment types broken down into 7% Internship, 80% Full Time, 10% Part Time, and 3% Temporary. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $43,220 per year, or $20.8 per hour.

Data Analyst Intern (Summer 2027)

Continental Resources

Oklahoma City, OK

Full-time

Posted 18 days ago


Key responsibilities

  • Collaborate with engineering teams to develop automation and analytics solutions for data analysis and decision-making.

  • Accumulate, organize, verify, and communicate data accuracy from multiple sources to support engineering analysis and reporting.

  • Support the presentation of summer projects to company leadership and assist with other assigned duties.


Job description

Join Continental Resources' Summer Internship Program!

Continental Resources' Summer Internship Program provides:

  • Meaningful, career-specific experiences

  • Hands-on insight into the oil and gas industry

  • Opportunity to be mentored by experienced professionals

  • Networking with fellow Continental interns, as well as interns from other companies and experienced professionals

  • Exposure to various departments within Continental

  • Opportunity to present their summer projects to experienced professionals and members of management

*

Job Summary

The Data Analyst Intern will collaborate with Engineering teams to solve problems, automate processes and improve business performance using the plethora of data, analytics and artificial intelligence capabilities available at Continental. There will also be plenty of opportunities to learn about the oil & gas industry and engineering concepts throughout the summer. The intern will provide support to Engineers and Leadership within Continental in an office-based role.

Duties and Responsibilities

In addition to a summer project, there will be opportunities to do some of the following, based on project assignment:

  • Develop automation solutions to streamline manual processes

  • Develop analytics solutions to help engineers and management make better decisions

  • Accumulate and organize data from multiple sources for engineering analysis

  • Capture & verify data accuracy, take appropriate action on any changes, and communicate required corrections to the necessary parties

  • Develop more accurate and reliable data analyses and reporting methodologies

  • Other duties as assigned.

Skills and Competencies

  • Strong work ethic with a positive and proactive attitude

  • Outstanding verbal, written and presentation skills; Intern will be presenting to company leadership

  • Proficient computer and data analysis skills

  • Proficiency in Microsoft Excel and PowerPoint

  • Basic Proficiency or the willingness to learn coding languages including SQL, R, Python, HTML and analytics software including MS Access, Spotfire, Power BI, Geographix and ArcMap/ArcPro.

  • Works well in a fast-paced environment

  • Excellent analytical, interpersonal and organizational skills

  • Self starter, who can execute individual tasks and works well on a team

  • Flexible and able to handle multiple tasks at one time

  • Ability to work and deliver on short timelines

  • Proven team player

Required Qualifications

  • Current enrollment in an accredited four (4) year College or University

  • Working towards a Bachelor's degree in Management Information Systems, Data Analytics, Data Science, Mathematics, Statistics, Economics or related field from an accredited College or University

  • Eligible to work permanently in the United States upon graduation

  • An acceptable pre-employment background and drug test.

Preferred Qualifications

  • Minimum 3.0 GPA

Physical Requirementsand Working Conditions

  • Requires prolonged sitting, some bending and stooping.

  • Occasional lifting up to 25 pounds.

  • Manual dexterity sufficient to operate a computer keyboard and calculator.


Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.