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Internship Data Optimization Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

... optimization, and data orchestration in one powerful solution. With deep integrations across 300 ... During the internship, you will support the Data team by analyzing data, building models ...

DEUNA

Data Science intern

San Francisco, CA

... optimization, and data orchestration in one powerful solution. With deep integrations across 300 ... During the internship, you will support the Data team by analyzing data, building models ...

Modea

Data Analyst I

Roanoke, VA · On-site +1

Help identify content optimization opportunities based on search intent data and healthcare ... internship experience applies). * Foundational understanding of data analysis concepts, including ...

Modea

Data Analyst I

Roanoke, VA · Remote

Help identify content optimization opportunities based on search intent data and healthcare ... internship experience applies). * Foundational understanding of data analysis concepts, including ...

JSW Steel USA

Electrical Engineer Internship (Paid)

Baytown, TX · On-site

$17.25 - $22.75/hr

... optimization technologies. You'll collaborate with experienced engineers and operations teams to ... Utilize data analysis tools to identify trends and recommend operational improvements. * Work ...

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Internship Data Optimization information

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$42

How much do internship data optimization jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship data optimization in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Optimization, and why are they important?

To thrive as an Internship Data Optimization professional, you need a solid understanding of data analysis, statistics, and basic programming skills, often supported by coursework or a degree in a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms is typically required. Strong attention to detail, problem-solving abilities, and effective communication are key soft skills that distinguish top candidates. These skills are essential for accurately analyzing data sets, identifying optimization opportunities, and clearly presenting actionable insights to stakeholders.

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

AspectInternship Data OptimizationData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's or higher in related field, technical proficiency
Work EnvironmentInternship setting, entry-level tasks, mentorshipFull-time, project-based, collaborative teams
Employer & Industry UsageInternship programs in tech, finance, marketingAcross industries, including tech, finance, healthcare
Search & Comparison IntentEntry-level, internship opportunities, learning rolesData analysis roles, career advancement

Internship Data Optimization focuses on entry-level, temporary roles aimed at learning data enhancement techniques, while Data Analysts are full-time professionals responsible for analyzing and interpreting data to support business decisions. Both roles require technical skills, but the internship is more educational and less specialized.

What types of projects and tasks can I expect to work on during a Data Optimization internship?

As a Data Optimization intern, you will likely support projects involving data cleaning, analysis, and process improvement. Typical daily tasks may include preparing datasets, running statistical analyses, developing or optimizing algorithms, and visualizing results to help teams make data-driven decisions. You may also collaborate with data scientists and engineers to identify inefficiencies in data pipelines and propose solutions. This role offers valuable exposure to real-world business challenges, and interns often gain hands-on experience with popular data tools and programming languages, laying a solid foundation for future roles in data analytics or engineering.

What is an Internship in Data Optimization?

An Internship in Data Optimization is a temporary position for students or recent graduates to gain practical experience in improving the efficiency and effectiveness of data processes within an organization. Interns typically work with data analysts and engineers to clean, organize, and analyze data, as well as implement optimization techniques to enhance data quality and performance. This role offers hands-on exposure to tools and technologies related to data management and analytics, making it an excellent opportunity to build foundational skills for a career in data science or analytics.
More about Internship Data Optimization jobs
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Internship Data Optimization jobs near you
Data Operations Analyst (S)

Data Operations Analyst (S)

Brigham Young University-Hawaii

Miami Beach, FL • On-site

$16 - $18/hr

Part-time

Posted 20 days ago

Job description

Students may only have 5 open job applications at a time.

Work Experience:

Intermediate (Developing Skills)

Work Experience Description:

Ideal for students who have begun gaining relevant experience and are building their skills through internships, part-time jobs, or significant projects. Typically aimed at sophomores or juniors who have completed a combination of introductory and advanced coursework.

Department Name

PCC Marketing - Ecommerce

Position Scope

  • Owns and maintains the organization's measurement architecture end-to-end, including Google Tag Manager (GTM) containers, GA4 event configurations, advertising pixels, and conversion tracking across all digital properties.
  • Monitors data reliability through continuous quality assurance (QA) processes: auditing tracking implementations, validating event firing, identifying data discrepancies, and resolving issues in a timely manner.
  • Supports BigQuery, Azure Synapse, and Microsoft Fabric data models and reporting datasets, including maintaining pipelines that move data from source systems into analytics and reporting environments.
  • Documents data flows, measurement architecture, KPI logic, and tracking taxonomies so that institutional knowledge is clearly recorded, version-controlled, and accessible to the team.

Required Qualifications

  • Hands-on experience with keyword research tools, SEO auditing platforms, and CMS platforms.
  • Understanding of technical, on-page, and local SEO fundamentals, including schema markup and Core Web Vitals.
  • Familiar with AI search optimization (AEO) practices and the evolving role of AI-driven search.
  • Prior experience in travel, tourism, hospitality, attractions, or other guest-focused consumer businesses.
  • Able to manage multiple projects and deadlines simultaneously in a cross-functional environment.

Must attach resume and current semester class schedule (weekly view).

Base Rate Per Hour

$16.00


Work Schedule
19 hours; M-F


Approximate starting hourly rate:

$16.00 - $18.00


The wage offered could be above or below range based on education and experience as it relates to the job description.


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