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Internship Opt Cpt Data Analytics Jobs in Raleigh, NC

KPMG US

Manager, Data Operations

Raleigh, NC · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... 1, OPT, CPT or any other employment-based visa) Preferred : • Bachelor's degree from an ...

Truist

Senior Security Data Engineer

Raleigh, NC · On-site

$111K - $152K/yr

... analytics capabilities across both uniform and bespoke corporate information technology ... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ...

Truist

Senior Security Data Engineer

Raleigh, NC · On-site

$111K - $152K/yr

... analytics capabilities across both uniform and bespoke corporate information technology ... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ...

Truist

Senior Security Data Engineer

Raleigh, NC · On-site

$111K - $152K/yr

... analytics capabilities across both uniform and bespoke corporate information technology ... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ...

Carr, Riggs & Ingram

Senior Associate, Audit

Raleigh, NC · On-site

$78K - $96K/yr

Strong organizational and analytical abilities * Ability to work well in a team environment ... OPT, CPT or any other employment-based visa). CRI is a nationally recognized accounting and ...

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How much do internship opt cpt data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship opt cpt data analytics 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 OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What is an Internship OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

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Internship Opt Cpt Data Analytics jobs near you
Infographic showing various Internship Opt Cpt Data Analytics job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Applied Genetics Scientist - Pipeline Data Science

Syngenta

Durham, NC • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Company Description

About Syngenta

Syngenta is a leading developer and producer of seeds. We bring farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity's most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. 

Job Description

Applied Scientist - Pipeline Data Science

  • Type: Permanent 
  • Department: Seeds Development / Vegetables
  • Location: Enkhuizen - NL, RTP - US

Into action

Do you thrive at the intersection of data engineering, predictive analytics, and innovation? As our Applied Scientist - Pipeline Data Science, you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust, efficient pipelines, you'll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation. 

The challenge

As an Applied Scientist, you'll focus on building the infrastructure that makes data accessible, reliable, and actionable for diverse stakeholders. Your key responsibilities will include: 

  • Building Scalable Data Pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability. 
  • Ensuring Data Quality and Reliability: Contribute to data mining, curation, analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
  • Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches. 
  • Collaborating Across Teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals, addressing unique data needs efficiently. 
  • Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
  • Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes

This role combines creativity and problem-solving with a focus on real-world applications. You'll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations. 

Qualifications

Your profile

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This comprises, but is not limited to, OPT, CPT, and H-1B visa holders.

We seek a detail-oriented Applied Scientist with a Master's in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields. You combine strong technical skills, analytical insight, and a collaborative mindset.

  • Programming: Skilled in Python, R, SQL; experienced with relational and NoSQL databases.
  • Cloud: Familiar with AWS services and infrastructure.
  • Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
  • Collaboration: Effective team player, able to communicate technical concepts to diverse stakeholders.
  • Bonus: Experience with Docker/Kubernetes, machine learning frameworks (Keras, PyTorch, scikit-learn), and interest in plant breeding or agricultural innovation.
Additional Information

What We Offer:

  • A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
  • Full Benefit Package (Medical, Dental & Vision) that starts your first day.
  • 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
  • Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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