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Academic Data Analyst Jobs in Virginia (NOW HIRING)

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... performing analysis, and assessing model performance. * Demonstrated professional or academic ...

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Work closely with data scientist and technical team to implement requirements. * Conduct ... performing analysis, and assessing model performance. * Demonstrated professional or academic ...

J5 Consulting

Data Scientist

Mclean, VA · On-site

Introduction The Sponsor provides data-driven business analysis to support senior organizational ... performing analysis, and assessing model performance. * Demonstrated professional or academic ...

Ardent Principles, Inc

Data Scientist

Mclean, VA · On-site

... Data Scientist with demonstrated experience in advanced natural language processing, machine ... actions, performing analysis, and assessing model performance. * Professional or academic ...

GRVTY

Data Scientist

Chantilly, VA · On-site

What Impact You'll Have Our team is charged with taking commercial and academic innovation high ... This role requires applying advanced analytics, statistical modeling, and machine learning ...

GRVTY

Data Engineer

Chantilly, VA

$117K - $140K/yr

What Impact You'll Have Our team is charged with taking commercial and academic innovation high ... The Data Engineer will work with and analyze our client's challenges and provide solutions by ...

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All JobsAcademic Data Analyst JobsAcademic Data Analyst Jobs in Virginia

Academic Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do academic data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for academic data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does an academic data analyst do?

An Academic Data Analyst is responsible for collecting, analyzing, and interpreting data related to academic institutions, such as student performance, enrollment trends, and faculty research metrics. They use statistical tools and data visualization techniques to provide insights that inform decision-making and improve educational outcomes. Academic Data Analysts often collaborate with administrators, faculty, and IT staff to ensure data accuracy and to support institutional goals.

How does an academic data analyst typically collaborate with faculty and administrative staff to support institutional decision-making?

Academic Data Analysts often work closely with faculty, department heads, and administrative teams to gather requirements, interpret data trends, and provide actionable insights. They may participate in meetings to discuss key metrics on student performance, enrollment, and curriculum effectiveness, translating complex data into understandable reports or visualizations. Effective communication and a collaborative mindset are essential, as analysts bridge the gap between raw data and strategic planning, ensuring stakeholders have the information needed to make informed decisions. This role frequently involves handling multiple projects simultaneously and adapting analyses to the evolving needs of the academic institution.

What are the key skills and qualifications needed to thrive as an academic data analyst, and why are they important?

To thrive as an Academic Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in data science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with institutional research databases, is often required. Attention to detail, problem-solving ability, and clear communication skills help translate complex data into actionable insights for academic stakeholders. These skills ensure accurate analysis and effective reporting, supporting data-driven decision-making in educational environments.
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Academic Data Analyst jobs near you
Infographic showing various Academic Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Scientist

SAIC

Mclean, VA • On-site

$200K - $240K/yr

Other

Re-posted 25 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2614424
Location: McLean, VA, US
Date Posted: 2026-07-09
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.
Key Responsibilities:
  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics.
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis.
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:
  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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