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Data Analytics Trainee Jobs in Virginia (NOW HIRING)

Instructional Designer

Virginia Beach, VA · On-site

$58K - $78K/yr

Develop Course Training Task List (CTTL) by analyzing Job, Duty, Task, Analysis (JDTA) data to ... trainee attains upon successful completion). * Develop AI-assisted Testing Materials to include the ...

Instructional Designer

Virginia Beach, VA · On-site

$58K - $78K/yr

Develop Course Training Task List (CTTL) by analyzing Job, Duty, Task, Analysis (JDTA) data to ... trainee attains upon successful completion). * Develop AI-assisted Testing Materials to include the ...

Instructional Designer

Virginia Beach, VA · On-site

$58K - $78K/yr

Develop Course Training Task List (CTTL) by analyzing Job, Duty, Task, Analysis (JDTA) data to ... trainee attains upon successful completion). * Develop AI-assisted Testing Materials to include the ...

Showing results 41-60

Data Analytics Trainee information

What does a data analytics trainee do?

A Data Analytics Trainee is an entry-level professional who learns to collect, process, and analyze data to help organizations make informed decisions. Their responsibilities typically include cleaning and organizing data, using statistical tools to identify trends, and creating basic reports or visualizations. They often work under the supervision of experienced analysts, gaining practical experience with data analytics tools and techniques. This role is designed to provide foundational skills and knowledge needed for a career in data analytics.

Can I get into data analytics with no experience?

Data analytics trainee roles often do not require prior experience, as they focus on training and skill development. Candidates typically need basic knowledge of statistics, Excel, or programming languages like Python or R, and should be willing to learn tools such as SQL and data visualization software. Entry-level positions may also value strong analytical thinking and problem-solving skills.

What are the key skills and qualifications needed to thrive as a data analytics trainee?

To thrive as a Data Analytics Trainee, you need foundational knowledge of statistics, data analysis, and basic programming skills—often supported by a relevant degree or coursework in data science, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is highly valued, and introductory certifications in analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present data insights clearly. These skills are critical for turning raw data into actionable information, supporting decision-making, and building a successful analytics career.

What types of projects can a data analytics trainee expect to work on during their training period?

As a Data Analytics Trainee, you can expect to work on a variety of projects that involve collecting, cleaning, and analyzing datasets to uncover insights that support business decisions. Common tasks include preparing data for analysis, building dashboards for stakeholders, and assisting with the creation of reports or presentations. You may also collaborate with team members on real-world case studies, learning to use popular analytics tools such as Excel, SQL, or Python. These projects are designed to build your technical skills while giving you exposure to practical business challenges.

What are the most commonly searched types of Data Analytics jobs in Virginia?

The most popular types of Data Analytics jobs in Virginia are:

What job categories do people searching Data Analytics Trainee jobs in Virginia look for?

The top searched job categories for Data Analytics Trainee jobs in Virginia are:

What cities in Virginia are hiring for Data Analytics Trainee jobs?

Cities in Virginia with the most Data Analytics Trainee job openings:

Infographic showing various Data Analytics Trainee job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenure

Old Dominion University

Norfolk, VA • On-site

Full-time

Re-posted 22 days ago


Old Dominion University rating

7.5

Company rating: 7.5 out of 10

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312th of 618 rated colleges and universities


Job description

Posting Details
Posting Details
Job Title
Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenured, F1117A
Department
AI CLUSTER HIRE INITIATIVE
Position Number
F1117A
Job Description
The Department of Physics and the Center for Accelerator Science at Old Dominion University invite applicants for a tenured Associate or Full Professor position (depending on experience) in Accelerator Science as part of a multi-position hiring initiative for Applications of Physics , Data Science, and/or Engineering to Particle Accelerators.
The appointee will maintain a vibrant, externally funded interdisciplinary research program in accelerator science using artificial intelligence (AI)/machine learning (ML), engineering, physics and/or related scientific approaches to study topics such as accelerator design and development, advanced performance optimization and analysis of accelerators, large-scale simulations of accelerator performance, and control optimization of accelerators using advanced AI/ML techniques. Collaboration with other faculty in Physics, Engineering, and the School of Data Science at ODU as well as accelerator scientists at the nearby Thomas Jefferson National Accelerator Facility (Jefferson Lab) will be encouraged.
Other Responsibilities:
  • Teach undergraduate and graduate courses, including for the Virginia Innovative Traineeship in Accelerators (VITA) program and the US Particle Accelerator School (USPAS).
  • Advise graduate students.
  • Provide service to their department and the University.

Position Type
FullTime
Type of Recruitment
General Public
Type of Recruitment
General Public
Minimum required education and/or special licenses, registrations, trainings, or certifications
A Ph.D. or equivalent in Physics, Computer Science, Mathematics, Engineering, or a closely related field is required.
Minimum required level and type of experience, knowledge, skills, and abilities
Candidates must have expertise in the field of accelerator science, broadly defined, and experience indicative of the ability or interest to teach and/or mentor at the undergraduate and graduate levels.
Candidates must also have the following:
  1. Academic records that merit a tenured appointment in the Department of Physics or El at ODU.
  2. A successful record in research and externally funded grants.
  3. Demonstrated ability to interact and communicate clearly with internal and external constituencies.

Preferred Qualifications
  • Postdoctoral experience in Accelerator Science or a related field
  • A strong publication record and/or experience with grant-funded research.
  • Research relating to understanding and improving the CEBAF accelerator at Jefferson Lab, designing and building the Electron-Ion Collider (EIC), exploring future nuclear physics accelerators, improving the performance of light sources, developing new concepts for accelerators for nuclear and high-energy physics, nuclear medicine and other applications, or visualization and control of accelerators.

Conditions of Employment
Location
Norfolk, VA
Job Open Date
07/25/2026
Application Review Date
Open Until Filled
Yes
Application Instructions
Interested candidates must complete the online application at https://jobs.odu.edu/postings/23811, including the following:
  1. A cover letter describing your relevant qualifications and indicating the rank you would like to be considered for.
  2. A curriculum vitae.
  3. A statement of teaching philosophy.
  4. A statement of research interests.
  5. Unofficial graduate transcripts.
  6. Contact information for 3 professional references. At the appropriate time in the Search process, these individuals will be contacted by the Search Committee.

Applications should be submitted full consideration. The positions will remain open until filled.
Questions about these positions should be directed to Dr. Sebastian Kuhn (skuhn@odu.edu), Chair of the Applications of Physics, Data Science, and/or Engineering to Particle Accelerators" Cluster Hire.
Telework Friendly
No
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757)683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor's legal duty to furnish information.
About the College
https://www.odu.edu/scihttps://www.odu.edu/engineeringhttps://www.odu.edu/interdisciplinary-schools
About the Department
About the Center for Accelerator Science: Hampton Roads is the host of the Thomas Jefferson National Accelerator Facility (Jefferson Lab), one of the premier accelerator facilities in the world and the pioneer of superconducting radiofrequency technology. ODU has capitalized on the proximity of this National Lab through its longstanding collaboration with Jefferson Lab in Nuclear Physics (since the 1990's). In 2008, ODU, with the support of Jefferson Lab, created the Center for Accelerator Science (CAS), to expand this collaboration. As a result, ODU is one of the few academic institutions in the country and the world where the next-generation accelerator scientists and engineers can be trained to provide the needed workforce for the design, construction, and operation of particle accelerators. Since its creation in 2008, CAS has received more than $16M in external funding and has graduated over 25 Ph.D. students. Many of those students now have leadership positions in DOE laboratories. CAS faculty, staff, and students are key participants and have a leading role in several large-scale international accelerator projects.
For more information, visit: https://www.odu.edu/physics, https://www.odu.edu/center-for-accelerator-science

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