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Data Science Analyst Intern Jobs in Tulsa, OK (NOW HIRING)

MIRATECH

Data Platform Lead

Tulsa, OK · On-site

$99K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience. * 5+ years of experience in data engineering, analytics engineering, or ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience.5+ years of experience in data engineering, analytics engineering, or ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience. * 5+ years of experience in data engineering, analytics engineering, or ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience. * 5+ years of experience in data engineering, analytics engineering, or ...

Deloitte

Finance Analytics & AI Senior Consultant

Tulsa, OK · On-site

$106K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

The OSU/A&M System

Research Scientist GS9392

Tulsa, OK · On-site

... data science, biomedical engineering, or a related field (degree must be conferred on or before agreed upon start date) * Experience with quantitative data analysis (Python and/or R) * Experience ...

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All JobsData Science Analyst Intern JobsData Science Analyst Intern Jobs in Tulsa, OK

Data Science Analyst Intern information

See Tulsa, OK salary details

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How much do data science analyst intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data science analyst intern in Tulsa, OK is $20.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $22.40 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

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

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Tulsa, OK?

For Data Science Analyst Intern jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Data Science Analyst Intern jobs in Tulsa, OK look for?

The top searched job categories for Data Science Analyst Intern jobs in Tulsa, OK are:

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Cities near Tulsa, OK with the most Data Science Analyst Intern job openings:

Data Science Analyst Intern jobs near you

Data Platform Lead

MIRATECH

Tulsa, OK • On-site

$99K - $119K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Reports to: VP of Digital Technology
Cooperates with: Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development
Location: Tulsa, OK
Primary Responsibility: Responsible for owning and advancing the organization's data ecosystem by designing, building, and maintaining scalable data solutions within Microsoft Fabric and Power BI. This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners with business stakeholders to define a data roadmap, improve data governance and quality, and identify opportunities to expand data-driven decision-making and analytics capabilities
What You'll Do:
  • Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI
  • Design and maintain scalable data architecture including lake house structures, semantic models, and datasets
  • Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems
  • Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization
  • Develop and maintain data models that support consistent and reliable analytics
  • Establish and maintain data governance, data quality, and documentation standards
  • Create and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goals
  • Identify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insights
  • Partner with business leaders and stakeholders to understand data needs and prioritize analytics initiatives
  • Ensure performance, scalability, and reliability of the data platform
  • Implement best practices for data security, access controls, and compliance
  • Support and enable self-service analytics across departments through standardized datasets and semantic models
  • Understanding of Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystem
  • Monitor and troubleshoot data pipelines, reports, and platform performance
  • Continuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organization

How to Qualify:
  • Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience.
  • 5+ years of experience in data engineering, analytics engineering, or business intelligence development
  • 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric
  • Microsoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic models
  • Advanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset management
  • Strong SQL proficiency for querying, transformation, and performance optimization
  • Data modeling expertise, including star schema, dimensional modeling, and semantic layer design
  • Experience building and managing data pipelines for ingestion, transformation, and orchestration
  • Understanding of modern data architectures, including data lakes, lake houses, and warehouse concepts
  • Experience with ETL/ELT processes and data transformation frameworks
  • Ability to design scalable data platforms that support enterprise analytics and reporting
  • Design and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platform
  • Experience implementing data governance and data quality practices
  • Strong understanding of business intelligence concepts and KPI development
  • Experience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systems
  • Knowledge of data security and access management within Microsoft environments
  • Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
  • Experience with version control and development best practices
  • Strong communication skills for working with business stakeholders and leadership

What Sets You Apart:
  • Experience building or leading a data platform practice, team, or Center of Excellence from the ground up or through a significant growth phase.
  • Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users.
  • Knowledge of environmental manufacturing processes and sustainability practices.
  • Experience working in a fast-paced, Agile environment.
  • Ability to manage multiple priorities and stakeholders effectively.
  • Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes

What We Offer:
  • Health, Dental & Vision Insurance
  • Annual Bonus Program
  • $350 Annual Wellness Credit
  • Flexible Spending Account (FSA)
  • 401k with match up to 5%
  • Life insurance
  • Disability insurance
  • 5 days of paid sick leave annually (prorated based on start date)
  • 15 days PTO annually (prorated based on start date)

Equal Opportunity: MIRATECH is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.

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