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Internship Data Mapping Analyst Jobs in Raleigh, NC

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

Source-to-target mappings * Data lineage and metadata * Support internal audits and regulatory reviews Qualifications Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR ...

Senior Enterprise Data Analyst

Raleigh, NC · Remote

$83K - $105K/yr

Source-to-target mappings * Data lineage and metadata * Support internal audits and regulatory reviews Qualifications Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Translate Business requirements into high-quality technical documents including, data mapping, data ... analytics. * Strong knowledge of Data Fabric services, particularly Data engineering, Data ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Translate Business requirements into high-quality technical documents including, data mapping, data ... analytics. * Strong knowledge of Data Fabric services, particularly Data engineering, Data ...

Data Protection Sr. Analyst

Raleigh, NC · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

SAP BODS

Raleigh, NC · On-site

... Level Data Mapping for ETL Specifications Create transformations in ETL jobs to achieve data ... Excellent Analytical Skills Knowledge to transfer data from Oracle, SQL Server tables and Web ...

Digital Analyst Internships

Raleigh, NC

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

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Internship Data Mapping Analyst information

See Raleigh, NC salary details

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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 Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 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.
What cities near Raleigh, NC are hiring for Internship Data Mapping Analyst jobs? Cities near Raleigh, NC with the most Internship Data Mapping Analyst job openings:
Principal Exposure Data Scientist - Chemical Insights Research Institute

Principal Exposure Data Scientist - Chemical Insights Research Institute

UL Research Institutes

Morrisville, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Job Description

We have an exciting opportunity for a Principal Exposure Data Scientist at UL Research Institutes based in our Morrisville, NC office.

The Principal Exposure Data Scientist will assist in the development and maintenance of the data analysis infrastructure to support the Chemical Insights Research Institute (CIRI) mission of advancing human and environmental health. This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Principal Exposure Data Scientist works closely with CIRI scientists and external collaborators to deliver high-quality scientific data that inform chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.

UL Research Institutes:

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us. Join us and work with our Chemical Insights teams who conduct the research required to produce that knowledge and put into practice.

Chemical Insights Research Institute (CIRI):

The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org/

What you'll learn and achieve:

As the Principal Exposure Data Scientist, you will play a key role in the rapid growth of UL as you:

  • Design and implement cutting-edge data science methods for chemical exposure.

  • Work as part of a team to extract, curate, and harmonize structured and unstructured chemical exposure, product ingredient, biomonitoring, and environmental contamination data.

  • Develop and implement quality assurance plans for data curation projects.

  • Design and implement artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data.

  • Develop and implement data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety and exposure data systems (e.g., IUCLID, MMDB, CPDat).

  • Develop statistical and machine learning models to predict chemical functional use and exposure pathways.

  • Collaborate with exposure scientists, toxicologists, analytical chemists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results.

  • Work closely with software and database engineers to provide high-quality chemical exposure data for on-line software applications and decision support tools.

  • Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.

  • Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.

  • Present research findings at scientific conferences, stakeholder meetings, and technical forums.

  • Serve as co-author on peer-reviewed publications and technical reports.

  • Assist in writing research proposals and securing funding from internal and external sources.

  • Provide technical support and troubleshooting for data-related issues.

  • Perform other duties as assigned.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.

  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.

  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.

  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.

  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

  • Proficiency in programming and statistical languages (e.g. Python, Java, R).

  • Knowledge of machine learning, statistical modeling, and data visualization tools.

  • Working knowledge of exposure science, chemistry, and toxicokinetics.

  • Understanding of relational and non-relational database systems.

  • Proven ability to participate in multidisciplinary teams on complex projects in a research setting.

  • Excellent problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands.

  • Willingness to learn and research new concepts and technologies.

  • Ability to communicate with technical and non-technical internal and external stakeholders.

  • Skilled in versioning best practices, i.e. GitHub, Code Commit.

Professional education and experience requirements for the role include:

  • Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 6 years of relevant experience; or

  • Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 4 years of relevant experience.

  • Solid technical knowledge and experience working with R, Java or Python programming language, relational (SQL and Postgres) databases.

  • Demonstrated experience in developing data extraction and curation workflows for structured and unstructured chemical exposure data in a research environment.

  • Prior experience in developing quantitative structure-property relationship models to predict chemical functional use and exposure pathways.

About UL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.

To learn more, visit our websites UL.org and ULSE.org.

Salary Range:

$119,260.28-$163,982.88

Pay Type:

Salary