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Data Analytics Jobs in Virginia (NOW HIRING)

Axon

Senior Data Analytics Engineer

Sterling, VA

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

NVR Inc

Senior Data Analytics Engineer

Reston, VA · On-site

$58 - $76.75/hr

NVR, Inc. is seekingSenior Data Analytics Engineer(Microsoft Fabric)to work on site inReston, VA NVR's technology teams thrive on providing multiple business lines with the tools and cutting-edge ...

Axon

Senior Data Analytics Engineer

Sterling, VA · On-site

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

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All JobsData Analytics JobsData Analytics Jobs in Virginia

Data Analytics information

See Virginia salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
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 are popular job titles related to Data Analytics jobs in Virginia? For Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Virginia look for? The top searched job categories for Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics jobs? Cities in Virginia with the most Data Analytics job openings:
Data Analytics jobs near you
Data Analytics Platform Engineer

Data Analytics Platform Engineer

Booz Allen Hamilton

Arlington, VA • On-site

$131K - $158K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is a leading consulting firm specializing in technology solutions. They are seeking a Data Analytics Platform Engineer to help clients organize and analyze data from various sources, contributing to mission-driven projects including fraud detection and cancer research.
Responsibilities:
• help our clients find answers in their data to impact important missions
• build advanced technology solutions and implement data engineering activities
• deploy and develop pipelines and platforms that organize and make disparate data meaningful
• work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
• manage the assessment, design, building, and maintenance of scalable platforms for your clients
Qualifications:
Required:
• 3+ years of experience with data lake or analytics platforms such as Cloudera, Apache Iceberg or Snowflake
• Experience designing data pipeline architectures for security operations, including log collection, normalization, enrichment and routing
• Experience with defensive cyber operations, cybersecurity engineering or security platform architecture
• Experience with Windows or Linux administration activities
• Knowledge of architecting detection engineering pipelines, threat hunting workflows or automated response capabilities
• Knowledge of managing and administrating Apache Flink, Hue, Hive or Zepplin
• Knowledge of deploying platforms across cloud, on-premises and disconnected environments using Kubernetes or OpenShift
• Knowledge of Zero Trust principles, DoD and IC Cybersecurity frameworks and federal compliance standards
• TS/SCI clearance
• HS diploma or GED
Preferred:
• Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash or Fluentd
• Experience with threat detection or anomaly-based behavioral analysis
• Experience with DevSecOps CI/CD pipelines in IL5, IL6 or IL7 environments
• Experience with Python or scripting languages for security automation
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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