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Internship Jr Data Analyst 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

$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 presenting data, analysis, or recommendations through coursework, internships, projects, or professional experience * Experience working with data in Excel (formulas, pivot tables, data ...

$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 ...

$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 ...

$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 ...

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Internship Jr Data Analyst information

See Oklahoma salary details

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How much do internship jr data analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship jr data analyst in Oklahoma is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $23.12 per hour, depending on experience, location, and employer.

What does an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

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

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

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

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

What job categories do people searching Internship Jr Data Analyst jobs in Oklahoma look for?

The top searched job categories for Internship Jr Data Analyst jobs in Oklahoma are:

What cities in Oklahoma are hiring for Internship Jr Data Analyst jobs?

Cities in Oklahoma with the most Internship Jr Data Analyst job openings:

Data Analyst

Dentaldepotarizona

Oklahoma City, OK • On-site

$60 - $80/hr

Other

Posted 5 days ago


Key responsibilities

  • Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards and reports within the company reporting platform (DDI).

  • Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting.

  • Assist in the development and maintenance of data pipelines, transformations, and structured datasets within Snowflake or similar environments.


Job description

Job Description

DATA ANALYST

POSITION SUMMARY

THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION.

Primary responsibility for hands‑on analytic reporting, data infrastructure support, and development within the organization’s reporting platform (DDI). This position reports directly to the Senior Business Intelligence Engineer and supports the Business Intelligence team in executing reporting, database, and data integration workstreams, including report development, data modeling, and system optimization.

This is an execution‑focused role responsible for building, maintaining, and improving reporting outputs and underlying data structures. The position emphasizes technical competency, attention to detail, and the ability to produce accurate work within established systems and processes.

ESSENTIAL FUNCTIONS

To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions.

  • Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards and reports within the company reporting platform (DDI).
  • Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting.
  • Work with relational datasets, including joining multiple tables and validating outputs for accuracy and consistency.
  • Assist in the development and maintenance of data pipelines, transformations, and structured datasets within Snowflake or similar environments.
  • Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems.
  • Troubleshoot reporting and data issues, identifying root causes and resolving issues without introducing downstream errors.
  • Follow established development standards, naming conventions, and documentation practices.
  • Assist in automating recurring reporting processes and improving workflow efficiency.
  • Work directly with internal stakeholders to gather report requirements, clarify objectives, and ensure alignment with business needs.
  • Document report logic, data definitions, and technical processes clearly and consistently.
  • Perform routine audits of reports and datasets to identify discrepancies, inconsistencies, or performance issues.
  • Support testing, validation, and deployment of new or updated reports and data processes.
skills and ability

Adaptability - Ability to adapt to change in the workplace and adjust to evolving business needs and priorities.

Organized - Possesses strong organizational skills and follows structured processes in completing work.

Detail Oriented - Demonstrates a high level of attention to detail and accuracy in all deliverables.

Analytical Skills - Ability to apply structured thinking and logical reasoning to technical and data-related problems.

Accuracy - Ability to perform work accurately and thoroughly, validating outputs before delivery.

Communication Skills - Ability to communicate clearly and effectively when gathering requirements, reporting issues, and providing updates.

Cross‑Functional Collaboration - Ability to work effectively with internal stakeholders across departments to support reporting needs.

Problem Solving - Ability to troubleshoot issues independently and propose multiple potential solutions prior to escalation.

Technical Aptitude - Demonstrates a strong foundational understanding of data structures, reporting tools, and technical systems.

Accountability - Takes ownership of assigned work and follows through to completion with minimal oversight.

Work Ethic - Demonstrates reliability, urgency, and a consistent commitment to producing high‑quality work.

WORK ENVIRONMENT

While performing the duties of this job, the employee is occasionally exposed to toxic or caustic chemicals, body fluids, blood‑borne pathogens, and the risk of radiation. The noise level is usually moderate. As the dental practice is heavily dependent on scheduling, the general environment can become hectic at times. Therefore, the employee must be able to handle effectively the normal anxieties associated with the job.

EDUCATION, EXPERIENCE & TECHNICAL SKILLS Education:

Bachelor’s degree (four‑year college) in a related field preferred (e.g., Information Systems, Computer Science, Data Analytics, Finance, or similar).

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 datasets and reporting tools required.

Certifications & Licenses:

Microsoft Office Specialist Excel/Power Platform Expert Certification

Computer Skills:
  • Microsoft Suite of Services (Excel, Teams, Outlook, PowerPoint, Power BI)
  • SQL (required – ability to write queries involving joins, aggregations, and data validation)
  • Snowflake or similar cloud data platforms (preferred)
  • Familiarity with ETL/ELT processes and data pipeline concepts
  • Familiarity with AI-assisted tools (e.g., ChatGPT, Copilot) to support workflow efficiency and technical problem solving
PROFESSIONAL & BUSINESS Skills:
  • Ability to follow established processes and technical standards with consistency
  • Strong attention to detail in data handling, validation, and reporting outputs
  • Ability to manage multiple tasks and meet deadlines in a structured environment
  • Willingness to learn and develop technical skills on the job
  • Ability to approach problems methodically and avoid making unsupported assumptions
  • Clear written and verbal communication for task updates, issue identification, and resolution
  • Ability to work independently while aligning with team direction and priorities
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