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Internship Data Analyst Startup Jobs in Oklahoma

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 ...

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 ...

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

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Internship Data Analyst Startup information

What does an internship data analyst do at a startup?

An Internship Data Analyst at a startup typically assists in collecting, cleaning, and analyzing data to help the company make informed business decisions. They work closely with various teams to identify trends, generate reports, and create data visualizations. Due to the fast-paced nature of startups, interns often have the opportunity to work on diverse projects and gain hands-on experience with modern analytics tools. This role is ideal for students or recent graduates looking to build practical skills in data analysis while contributing to the growth of a young company.

What are the key skills and qualifications needed to thrive as an internship data analyst at a startup?

To thrive as an Internship Data Analyst at a startup, you need a solid grounding in statistics, data manipulation, and basic programming skills, often supported by coursework in data science or related fields. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong problem-solving, adaptability, and communication skills help you interpret findings and work effectively within a fast-paced, evolving team. These skills enable you to extract actionable insights from data and contribute meaningfully to the startup’s growth and decision-making.

What are some common challenges faced by data analyst interns at startups, and how can they overcome them?

Data Analyst interns at startups often encounter challenges such as working with limited or unstructured data, rapidly changing priorities, and balancing multiple projects simultaneously. To overcome these, it's important to proactively communicate with team members, seek clarification on project goals, and be adaptable to shifting business needs. Additionally, leveraging mentorship opportunities and utilizing available analytics tools can help interns build confidence and deliver valuable insights, even in a fast-paced environment.

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

AspectInternship Data Analyst StartupData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data, statistics, or related fieldBachelor's or higher in data-related disciplines, sometimes certifications
Work EnvironmentStartups, fast-paced, entry-level, learning-focusedVaries from corporate to consulting, more structured
Employer & Industry UsageStartups across tech, e-commerce, and innovative sectorsWide range including finance, healthcare, tech, and consulting
Common Search & ComparisonOften compared for entry-level experience and learning opportunitiesCompared for career progression and specialization

The main difference between an Internship Data Analyst at a startup and a Data Analyst is the experience level and work environment. Internships are typically short-term, entry-level roles focused on learning within startup settings, while Data Analysts are more experienced professionals working in established organizations across various industries.

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

The most popular types of Data Analyst Startup jobs in Oklahoma are:

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

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

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

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

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

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

Infographic showing various Internship Data Analyst Startup job openings in Oklahoma as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 79% In-person, and 21% Hybrid job distribution.

Data Analyst

Dentaldepotarizona

Oklahoma City, OK • On-site

$60 - $80/hr

Other

Posted 4 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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