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Associate Degree In Data Analytics Jobs in Virginia

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

... analytics solutions Required Qualifications * Master's degree in Data Science, Computer Science ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

... analytics solutions Required Qualifications * Master's degree in Data Science, Computer Science ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Masters degree in a related discipline is a plus. - Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions - Experience in design ...

Strong analytical and communication skills * Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal ...

... analytical and communication skills • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of experience in data analytics or data science ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Strong analytical and communication skills * Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal ...

Data Analyst

Chesapeake, VA · On-site

$90K/yr

... Navy data analytics, cloud management, and IT modernization program in Norfolk, VA. This role ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field ... insight-driven analytics capabilities that directly impact patient outcomes and business ...

Strong analytical and communication skills * Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal ...

... analytics, cloud management, and IT modernization program in the Norfolk, VA area. This role ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

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Associate Degree In Data Analytics information

See Virginia salary details

$3.2K

$6.2K

$8.9K

How much do associate degree in data analytics jobs pay per month?

As of Aug 21, 2026, the average monthly pay for associate degree in data analytics in Virginia is $6,236.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,658.33 and $6,650.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in Virginia?

For Associate Degree In Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in Virginia look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Associate Degree In Data Analytics jobs?

Cities in Virginia with the most Associate Degree In Data Analytics job openings:

Infographic showing various Associate Degree In Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $74,840 per year, or $36 per hour.

Principal Associate, Data Scientist - People Strategy & Analytics

Capital One National Association

Mclean, VA • On-site

$161.80 - $184.60/hr

Other

Posted 9 days ago


Job description

Principal Associate, Data Scientist - People Strategy & Analytics

Data is at the center of everything we do. As a startup, we disrupted the credit card industry with personalized offers using statistical modeling and relational databases. Fast forward, and this innovation has made us a Fortune 200 company and a leader in data‑driven decision making.

People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy. The team works closely with HR partners and senior executives to shape talent policy, automate real‑time data, and improve decision‑making.

Role Description

As a Data Scientist on this team, you’ll be at the leading edge of applying analytics to talent, combining AI, machine learning, and social science to build models that understand associate behavior, improve HR efficiency, and inform strategies.

In this role, you will:
  • Build natural language processing and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Apply expertise in using open‑source large language models (LLMs) through prompt engineering, retrieval‑augmented generation (RAG), and evaluation metric frameworks for business‑specific applications.
  • Partner with a cross‑functional team of data scientists, software engineers, business analysts, and product managers to deliver industry‑leading HR tools and AI‑powered products.
  • Leverage a broad stack of technologies—Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, PyTorch/TensorFlow, and more—to reveal insights hidden within large volumes of numeric and textual data.
  • Collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.
The Ideal Candidate is:
  • Passionate about human capital and excited by the value you can add to the company and its associates.
  • Innovative, continually researching and evaluating emerging technologies and applications.
  • Creative, adept at bringing definition to big, undefined problems and asking hard questions.
  • Technical, comfortable with open‑source languages and passionate about developing data science solutions using open‑source tools and cloud platforms.
  • Statistically minded, with experience building, validating, and backtesting models; comfortable interpreting a confusion matrix or ROC curve; and familiar with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor’s Degree in a quantitative field plus 5 years of experience performing data analytics.
    • A Master’s Degree in a quantitative field plus 3 years of experience performing data analytics.
    • A PhD in a quantitative field.
Preferred Qualifications
  • Master’s Degree in STEM plus 3 years of experience in data analytics, or PhD in STEM.
  • At least 1 year of experience working with AWS.
  • At least 3 years’ experience in Python.
  • At least 3 years’ experience with machine learning.
  • At least 3 years’ experience with SQL.
  • At least 2 years’ experience with relational databases such as Snowflake.
  • At least 2 years’ experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs, or PyTorch/TensorFlow.

Capital One will consider sponsoring a qualified applicant for employment authorization for this position.

Salary for this role is $161,800 – $184,600 for Principal Associate, Data Science in McLean, VA. Compensation may include performance‑based incentives such as cash bonuses and long‑term incentives.

Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in accordance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

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