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Internship Data Migration Jobs (NOW HIRING)

SETUP & SUPPORT LLC.

IT Support Intern

Oakland, CA

$17.25 - $23/hr

Internship Program: SETUP & SUPPORT LLC. is proud to offer an internship program that will prepare ... data migration to new machines Diagnose hardware issues & deficiencies, and replace defective ...

Pinnacle Fertility Inc.

Jr Software Developer

Scottsdale, AZ

$67.70K - $87.90K/yr

... with data migration, API integrations, and system configuration tasks. * Partner with QA and ... Experience: * 1-2 years of experience in software development (internships or entry-level roles ...

Codable

Junior SAP Consultants

Manhattan, NY · On-site

$69.50 - $94.75/hr

Provide support in various project tasks, including data migration, report generation, and system ... Previous internship or project experience related to SAP or ERP systems is a plus. SAP ...

Eclaro

Jr. Business Analyst

Brooklyn, NY

$51 - $60/hr

Data & Technology Support: Support data migration, validation, and automation initiatives using ... internship or co-op experience within a utility company environment Excellent communication ...

Pinnacle Fertility

Jr Software Developer

Scottsdale, AZ · On-site

$67.70K - $87.90K/yr

... with data migration, API integrations, and system configuration tasks. * Partner with QA and ... Experience: * 1-2 years of experience in software development (internships or entry-level roles ...

FIRST FIDELITY BANK

Intern

Oklahoma City, OK

$15/hr

SUMMARY The primary focus of this internship will be to support the organization, migration, and ... Prior experience with document management, data entry, or administrative support is helpful but not ...

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All JobsInternship Data Migration Jobs

Internship Data Migration information

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$12

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$42

How much do internship data migration jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship data migration 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 is the difference between Internship Data Migration vs Data Analyst?

AspectInternship Data MigrationData Analyst
Required CredentialsBasic understanding of databases, entry-level skillsBachelor's degree in related field, analytical skills
Work EnvironmentInternship setting, supervised tasks, project-basedOffice or remote, ongoing data analysis projects
Employer & Industry UsageInternship programs in IT, finance, healthcareCompanies across industries performing data analysis

Internship Data Migration typically involves assisting with transferring data between systems under supervision, focusing on learning and support. Data Analysts analyze data to derive insights, requiring more experience and skills. While internships are entry-level, data analysts often hold more advanced roles. Both roles are essential in data-driven industries but differ in scope and responsibilities.

What cities are hiring for Internship Data Migration jobs? Cities with the most Internship Data Migration job openings:
What are the most commonly searched types of Data Migration jobs? The most popular types of Data Migration jobs are:
What states have the most Internship Data Migration jobs? States with the most job openings for Internship Data Migration jobs include:
Internship Data Migration jobs near you
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL

Full-time

Posted 11 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor's degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

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