ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in Virginia (NOW HIRING)

Geo Owl

Data Analyst

Springfield, VA · On-site

As the Data Analyst, you'll dig into complex geospatial datasets, surface patterns and compliance ... Lead and conduct projects using advanced statistical, mathematical, and scientific techniques to ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Bachelor's degree in a technical discipline such as Computer Science, Information Systems ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic ...

Analygence

Data Scientist

Arlington, VA · On-site

Lead development and application of advanced data science, AI/ML, statistical modeling, predictive analytics, and automation methods to extract actionable insights from Mission Assurance assessment ...

New

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

Booz Allen Hamilton

Data Visualization Analyst

Dahlgren, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into ...

Booz Allen Hamilton

Data Visualization Analyst

Mclean, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into ...

Analygence

Data Scientist

Arlington, VA

Where the Senior Solutions Architect provides architectural stewardship over the data infrastructure layer, the Senior Data Science Consultant leads to the analytical application layer building ...

New

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Virginia

Data Analyst Data Science information

See Virginia salary details

$14

$37

$64

How much do data analyst data science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data analyst data science in Virginia is $37.64, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $45.62 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Virginia? For Data Analyst Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Virginia look for? The top searched job categories for Data Analyst Data Science jobs in Virginia are:
What cities in Virginia are hiring for Data Analyst Data Science jobs? Cities in Virginia with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,283 per year, or $37.6 per hour.
Senior Mortgage Data Analyst - Data Transformation

Senior Mortgage Data Analyst - Data Transformation

Netsynk

Mclean, VA • On-site

$88K - $111K/yr

Other

Posted 4 days ago

Job description

Job Title: Senior Mortgage Data Analyst – Data Transformation
Location: McLean, VA
Work Mode: In Office
Experience Required: 10+ Years
Employment Type: Contract

Role Overview

We are seeking an experienced Senior Mortgage Data Analyst – Data Transformation to support a large-scale enterprise data transformation initiative within the financial services industry. This role serves as the bridge between business stakeholders and technical teams, ensuring business requirements are translated into scalable, cloud-based data solutions.

The ideal candidate will have strong expertise in business analysis, data lineage, data mapping, cloud data platforms, and enterprise data transformation, along with excellent stakeholder management and communication skills.

Key Responsibilities
  • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms.
  • Analyze legacy data assets and map them to modern cloud-based target architectures.
  • Gather, analyze, and document business, functional, and technical requirements for enterprise data transformation initiatives.
  • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.
  • Collaborate with business stakeholders, architects, data engineers, and product owners to define scalable data solutions.
  • Evaluate event-driven and entity-based data models while identifying transformation opportunities and data gaps.
  • Support cloud-based data ingestion and integration initiatives.
  • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.
  • Ensure project deliverables meet business objectives, quality standards, and delivery timelines.
  • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.
  • Utilize AI-powered productivity tools such as Microsoft Copilot, ChatGPT, and Claude to improve documentation, analysis, and delivery efficiency.
  • Support enterprise data governance initiatives and ensure adherence to organizational data standards.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related field.
  • 7+ years of experience in Business Analysis supporting enterprise data, analytics, or technology transformation initiatives.
  • Proven expertise in:
    • Data Lineage
    • Data Profiling
    • Data Mapping
    • Business Process Analysis
  • Strong experience gathering and documenting:
    • Business Requirements
    • Functional Requirements
    • Technical Requirements
  • Experience working with cloud-based data platforms and modern data ingestion architectures.
  • Knowledge of enterprise data architecture, data governance, and data integration concepts.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Excellent written and verbal communication skills.
  • Experience working in Agile environments.
Preferred Qualifications
  • Experience within the secondary mortgage or financial services industry.
  • Hands-on experience with cloud data platforms such as:
    • Snowflake
    • Databricks
    • AWS
    • Azure
    • Google Cloud Platform (Google Cloud Platform)
  • Experience supporting enterprise data modernization and legacy system transformation projects.
  • Experience with Agile tools such as Azure DevOps and Jira.
  • Familiarity with AI-assisted productivity tools including Microsoft Copilot, ChatGPT, and Claude.
  • Professional certifications such as:
    • CBAP
    • PMI-PBA
    • Scrum Master
    • Agile Certifications

Apply