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Internship Data Mapping Analyst Jobs in Riverside, CA

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A Mapping Technician is responsible for retrieving, processing, and analyzing data. This includes creating reports from scratch, designing a variety of maps and exhibits, and sharing your findings ...

Define data mappings and integration specifications to ensure seamless, real-time data flow between ... Conduct gap analysis between current system capabilities and desired business outcomes ...

Mapping Manager

Rancho Cucamonga, CA · On-site

$135K - $185K/yr

Position Description: The Mapping Manager is responsible for the consistency and quality of ... Perform necessary research, analyze survey data, and perform boundary analysis for private and ...

Strong analytical skills with attention to detail and data accuracy. Duties and Responsibilities EDI Development * Design, develop and test EDI maps, workflows and transformations for healthcare ...

EDI Developer

Irvine, CA · On-site

$70K - $92K/yr

The incumbent will use strong programming skills, deep knowledge of data mapping, and experience ... Strong analytical skills with attention to detail and data accuracy. * Internet access provided by ...

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Internship Data Mapping Analyst information

See Riverside, CA salary details

$12

$23

$43

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

As of Jun 16, 2026, the average hourly pay for internship data mapping analyst in Riverside, CA is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Data Mapping Analyst, you need a solid understanding of data analysis, attention to detail, and familiarity with database concepts, often supported by coursework in computer science, statistics, or information systems. Proficiency in tools such as Microsoft Excel, SQL, and data visualization platforms is typically required, and familiarity with ETL (Extract, Transform, Load) processes is beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate in team settings help distinguish top candidates. These skills are essential for accurately mapping data between systems, ensuring data integrity, and supporting effective decision-making within organizations.

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

AspectInternship Data Mapping AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in tech, finance, healthcareVarious industries including finance, marketing, healthcare

The Internship Data Mapping Analyst role is an entry-level position focused on learning data mapping processes under supervision, often as part of an internship program. In contrast, a Data Analyst is a full-time professional responsible for analyzing data, creating reports, and providing insights. While both roles involve working with data, the internship is more educational and supervised, whereas the Data Analyst role requires more experience and independence.

What types of data projects can an Internship Data Mapping Analyst expect to work on, and how do these projects contribute to the team's goals?

As an Internship Data Mapping Analyst, you’ll typically support projects involving the integration, transformation, and organization of data from various sources. These projects may include mapping legacy data to new systems, standardizing data formats, or assisting in quality assurance checks. Your work directly enables the team to improve data accuracy and streamline business processes, often collaborating closely with data engineers, business analysts, and IT specialists. This hands-on experience provides valuable insights into data governance and prepares you for more advanced roles in data management.

What is an Internship Data Mapping Analyst?

An Internship Data Mapping Analyst is an entry-level or student position focused on organizing, analyzing, and translating data from one format or system to another within an organization. This role often involves working with data sets, understanding database structures, and ensuring data integrity during migrations or integrations. Interns in this position gain hands-on experience in data management, learn about data mapping tools and techniques, and support data-driven projects under supervision. The role helps build foundational skills for a career in data analysis, information systems, or business intelligence.
Data Modeler/Data Mapping ETL

Data Modeler/Data Mapping ETL

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

$57.75 - $75/hr

Full-time

Posted 26 days ago


Job description

Role: Data Modeler/Data Mapping ETL
Location: Lake Forest, CA
Duration: 6 - 12 months and beyond
This is not a SQL/BI development role. Need a data modeler who has strong data mapping experience
Top Three Skills:
Data Mapping/Modeling
Partitioning/database triggering
ETL/BI
Job Description:
Currently we have no architectural map of our data flows from source to all of our systems. We need someone to go through, top to bottom, of all of our source data and map this out, calling out quality issues, process issues, ETL issues, among other things. Also partitioning/database triggering and other core SQL/BI expertise is required It is a large data mapping project and the right candidate will embrace the technical skills to run this project on their own with minimal guidance from team.
  • Perform data mapping, transformation, exploration and BI feasibility studies
  • Acquire data from primary and secondary sources through various connectors or APIs with the knowledge and purpose of underlying data structures.
  • Identify, analyze, and interpret trends or patterns in simple and complex data sets
  • Apply statistical methods to data and generate insights
  • Collect, document, present, and convey insights, evidence and findings
  • Work with DB and BI developers in unit testing views and stored procedures
  • Perform data validation and support report validation
  • Scope and plan on tasks and assess proper estimate of time and effort
  • Stay current with the latest data processing and analysis technology