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Associate Data Analyst Jobs in Virginia (NOW HIRING)

Geo Owl

Data Analyst

Springfield, VA · On-site

As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and ... Education: Associate's = 2 pts · Bachelor's = 3 pts · Master's = +2 pts · PhD = +3 pts

Capital One

Data Analyst Associate - 2027

Mclean, VA · On-site

Data Analyst Associate - 2027 Key Role Details * Full-time new hires for this role will start as a cohort in a rotational program either February 2027 or August 2027. * This role is a full-time ...

Capital One

Data Analyst Associate - 2027

Mclean, VA · On-site

Data Analyst Associate - 2027 Key Role Details * Full-time new hires for this role will start as a cohort in a rotational program either February 2027 or August 2027. * This role is a full-time ...

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SkyePoint Decisions

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP * Experience using Python and Pandas for data analysis and transformation.

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

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All JobsAssociate Data Analyst JobsAssociate Data Analyst Jobs in Virginia

Associate Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do associate data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for associate 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 are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Virginia? The most popular types of Data Analyst jobs in Virginia are:
What are popular job titles related to Associate Data Analyst jobs in Virginia? For Associate Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Associate Data Analyst jobs in Virginia look for? The top searched job categories for Associate Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Associate Data Analyst jobs? Cities in Virginia with the most Associate Data Analyst job openings:
Associate Data Analyst jobs near you
Infographic showing various Associate Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Data Analyst

Data Analyst

Geo Owl

Springfield, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Geo Owl · SDVOSB · Est. 2013

Data Analyst

NGA MAVEN PROGRAM · GEOINT · DATA ANALYTICS · MIDDLE

Great AI/ML models start with great data — and great data starts with analysts who understand what they're looking at. As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and compliance gaps, and translate raw data holdings into recommendations that sharpen machine learning development.

Role Overview

The Data Analyst supports the maintenance of data holdings, ensures compliance to data standards, and performs quantitative analysis of data. You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day, you'll work with the GEOSPI team to automate standard processes, build lightweight analytics tools, manage data dictionaries, and ensure the pipeline stays compliant and productive.

Source-Derived Role Summary

The Data Analyst shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Learning (ML) model development.

A Day in the Life
  • ✓Analyze Maven data holdings to assess diversity, coverage, and compliance with government-directed standards; surface findings in visualizations the team can act on
  • ✓Apply statistical and mathematical methods to examine data quality, pipeline efficiency, and preprocessing progress against government goals
  • ✓Build and maintain lightweight analytic tools to track, visualize, and report data pipeline metrics and preprocessing status
  • ✓Ingest and rectify non-standard data formats new to the Data Management Platform; generate and maintain data dictionaries as tables evolve
  • ✓Support ETL workflows and data cleaning operations; help automate standard processes to increase preprocessing productivity
  • ✓Provide analysis expertise to determine whether imagery curation techniques effectively identify images of value for model development
Why This Role Matters

Mission Impact

The quality and diversity of NGA Maven's training data directly determines the performance of the AI/ML models that support national security operations. Your analysis identifies gaps, validates compliance, and recommends curation strategies that make those models better.

Geo Owl Impact

You contribute to Geo Owl's track record of delivering reliable, high-quality GEOINT data support on Maven — a program that reflects our core identity as a mission-first geospatial company.

Your Growth

You'll build applied experience in geospatial data analytics and ML pipeline support within a high-stakes intelligence community environment — a strong foundation for advancing toward data science or senior analyst roles.

Core Responsibilities
  • ▸Lead and conduct projects using advanced statistical, mathematical, and scientific techniques to derive insights from complex geospatial datasets
  • ▸Apply statistical and analytic methods to answer intelligence questions, support mission requirements, and advance data strategy recommendations
  • ▸Build lightweight analytic tools to visualize data metrics and assess preprocessing progress against government goals
  • ▸Design tracking and reporting mechanisms to monitor pipeline data movement for timeliness and compliance
  • ▸Develop automated checks on data and processes to guarantee continuous pipeline support
  • ▸Ingest and rectify non-standard data and new formats within the Data Management Platform; generate and maintain data dictionaries
  • ▸Support ETL capabilities: data analytics, cleaning, analyst workflow efficiencies, and transformation
  • ▸Work with the GEOSPI team to enhance workflows, automate standard processes, and improve overall preprocessing productivity
Required Qualifications
  • ✓Active TS/SCI clearance
  • ✓Minimum 5 experience points required (see experience point calculation below)
  • ✓Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
  • ✓Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau
  • ✓Experience developing visualizations to communicate analytical results to both technical and non-technical audiences

Preferred Qualifications

  • ▸Experience working in AI/ML-relevant fields related to imagery exploitation

Experience Point Requirement

This is a Middle-level (Level 3) position requiring a minimum of 5 experience points. Points are calculated as follows:

  • Education: Associate's = 2 pts  ·  Bachelor's = 3 pts  ·  Master's = +2 pts  ·  PhD = +3 pts
  • Professional / Military Experience: 1 pt per year of relevant experience
  • Certifications: 0.5 pts each
  • Specialized Training: 0.25 pts per relevant course
  • Professional Impact (publications, presentations, patents): up to 3 pts total
Tools, Technologies & Tradecraft
Python R SQL GIS Tableau Statistical Analysis ETL Data Visualization AI/ML Workflows [Preferred]
What Makes Someone Successful in This Role
  • ▸You're analytically curious — you don't stop at the surface finding; you dig until you understand what the data is actually telling you
  • ▸You build tools and visualizations that others can use — your outputs are clear, actionable, and designed for the people making decisions
  • ▸You take pride in data standards — you understand that a dirty or non-compliant dataset wastes downstream effort and you address it proactively
  • ▸You collaborate well across technical disciplines — you can work alongside imagery scientists, data engineers, and program managers without losing the thread
  • ▸You're a self-starter who can identify a workflow inefficiency, design an improvement, and implement it
Is This Role For You?

✔ Great Fit

You are a mid-level data or geospatial analyst who wants to apply quantitative skills to a mission that matters. You're comfortable working with large geospatial datasets, building analytical tools, and making evidence-based data strategy recommendations in an environment where the work supports national security outcomes.

✘ May Not Be For You

This may not be the right fit if you prefer pure research roles with limited operational accountability, or if working with structured data governance requirements and compliance standards feels limiting rather than grounding.

Career Growth & Professional Value

This role gives you hands-on experience with geospatial data analytics in a real intelligence community environment — working alongside imagery scientists, data engineers, and AI/ML practitioners on one of NGA's most technically demanding programs. Experience supporting ML data operations at scale is increasingly valuable across the defense and commercial geospatial markets.


Benefits:

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Health Insurance (Geo Owl pays 80%+ of the premium).

401k matching.

Dental, Vision, and other supplemental insurance plans available.

Company-paid short-term and long-term disability and life insurance.

Peer-to-Peer spot bonuses.

120 hours of PTO per year plus federal holidays.

Fully Paid Military Leave: *You make your full Geo Owl salary while you are on military duty*

Exiting the Military? Apply to our Military Transition Program for key insights into making the transition to civilian life from people who have been there before!
Engage with Your Team!

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About Us:
Our mission is to empower EVERYONE with geospatial technologies.

Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge solutions to the Department of Defense, intelligence agencies, and enterprises around the globe. Our comprehensive products and services include advanced geospatial analysis, imagery intelligence, remote sensing analysis, data science, and space-based custom intelligence solutions. At Geo Owl, we are dedicated to leveraging the latest analytic principles and technology to support and enhance the missions of our clients.

Our core values—innovation, integrity, and excellence—drive everything we do. We are committed to pushing the boundaries of geospatial intelligence to ensure our clients receive the most accurate, timely, and actionable intelligence possible. Integrity is at the heart of our operations; we uphold the highest standards of ethics and accountability in our work. Striving for excellence is not just a goal but a standard; we consistently aim to exceed expectations in every project.

Geo Owl's culture is built on collaboration, continuous learning, and respect. We cultivate an environment where team members can grow both personally and professionally. Our team is composed of passionate, dedicated experts who are always ready to support each other. We value work-life balance, offering flexible working arrangements and a supportive workplace where everyone feels valued.

At Geo Owl, we invest in our employees' growth and development. We provide ongoing training, career advancement opportunities, and a platform to work on impactful projects that make a real difference. Our team enjoys a strong sense of camaraderie and purpose, knowing that their work contributes to national security and global stability. If you are looking for a dynamic, rewarding career in geospatial intelligence, Geo Owl is the place for you. Join us and be part of a team that is shaping the future of geospatial intelligence.
A Note From Our CEO:

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Our 14 Principles:

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Equal Opportunities
Geo Owl is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

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About GeoOwl

Sourced by ZipRecruiter

Industry

Internet websites and web search portals

Company size

51 - 200 Employees

Headquarters location

Wilmington, NC, US

Year founded

2013

Social media

Twitter

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