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Operational Analytics Jobs in Virginia (NOW HIRING)

Advanced Strategic Insight, Inc

Senior Operational Analyst

VA · On-site

$93K - $124K/yr

Senior Operational Analyst Location: Washington, DC (On-Site) Employment Type: Full-Time Clearance: Active TS//SCI (SAP Eligible) Position Overview Support operational assessments and analytical ...

Prevailance

NEXWDC Operational Analyst

Virginia Beach, VA · On-site

$79K - $89K/yr

S. military or civil service experience in operations planning, technical analysis, or command and control operations * Familiarity with operational planning processes, training, and field exercise ...

Prevailance

NEXWDC Operational Analyst

Virginia Beach, VA · On-site

$79K - $89K/yr

S. military or civil service experience in operations planning, technical analysis, or command and control operations * Familiarity with operational planning processes, training, and field exercise ...

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Operational Analytics information

See Virginia salary details

$63.9K

$124.3K

$177.5K

How much do operational analytics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for operational analytics in Virginia is $124,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $147,700.00 per year, depending on experience, location, and employer.

Is operation analyst a good career?

An operations analyst is a valuable role focused on analyzing data to improve business processes, often requiring skills in data analysis tools like Excel or SQL. It offers opportunities for career growth, especially with experience and certifications, and is suitable for those interested in problem-solving and process optimization.

What types of teams or departments do Operational Analytics professionals typically collaborate with?

Operational Analytics professionals frequently work cross-functionally, collaborating with departments such as supply chain, finance, production, IT, and customer service. They often serve as a bridge between data teams and operational leaders, ensuring that insights are effectively implemented to drive process improvements. This collaboration requires clear communication and a practical understanding of various business functions, making the role ideal for those who enjoy teamwork and tangible business impact. These interactions can offer excellent networking opportunities and help build a comprehensive understanding of the organization's operations, supporting both immediate project success and long-term career growth.

What jobs pay $500,000 a year in the US?

In operational analytics, senior roles such as Director of Analytics or Chief Data Officer can reach or exceed $500,000 annually, especially in large corporations or financial institutions. These positions typically require extensive experience, advanced skills in data management and visualization tools, and often involve leadership responsibilities and strategic decision-making.

What is an Operational Analytics job?

An Operational Analytics job focuses on using data to optimize business processes, improve efficiency, and drive decision-making. Professionals in this role analyze real-time and historical data to identify patterns, streamline operations, and enhance performance. They often work with cross-functional teams to implement data-driven strategies, leveraging tools like SQL, business intelligence software, and automation. The goal is to turn raw data into actionable insights that improve operational workflows and business outcomes.

What are the key skills and qualifications needed to thrive in the Operational Analytics position, and why are they important?

To excel in Operational Analytics, you need strong analytical abilities, a background in business operations or supply chain, and often a bachelor's degree in a related field such as business, engineering, or mathematics. Familiarity with data analytics tools like SQL, Excel, Tableau, or Python and certifications in data analytics or Lean Six Sigma are commonly required. Excellent problem-solving, communication, and collaboration skills help you translate data into actionable recommendations for cross-functional teams. These competencies enable you to drive operational improvements and informed decision-making within an organization.

What does an operational analyst do?

An operational analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and work closely with management to optimize operational performance.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.
What are popular job titles related to Operational Analytics jobs in Virginia? For Operational Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Operational Analytics jobs in Virginia look for? The top searched job categories for Operational Analytics jobs in Virginia are:
Operational Analytics jobs near you
Senior Data Scientist - Operational Analytics

Senior Data Scientist - Operational Analytics

Peraton

Herndon, VA • On-site

$104K - $166K/yr

Full-time

Posted 27 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services

Job description

Responsibilities
Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products.
This role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret, model, visualize, and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights, dashboards, metrics, and analytics products that support FAA modernization objectives.
The ideal candidate for this role brings strong analytical judgment, cognitive flexibility, hands-on comfort with data, and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program's agentic AI engine.
Experience with FAA, NAS, Aviation, air traffic operations, transportation, safety-critical systems, or large-scale modernization data is highly relevant to this position.
Key responsibilities may include, but are not limited to:
  • Analyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
  • Define operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics products
  • Assess the quality, completeness, consistency, and usability of data made available through enterprise data repositories
  • Partner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issues
  • Support ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerations
  • Develop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-making
  • Translate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendations
  • Communicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders

Qualifications
Required Qualifications
  • 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ with a PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical discipline
  • Experience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-making
  • Proficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts
  • Experience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modeling
  • Experience defining or supporting metrics, KPIs, dashboards, reports, or decision-support products
  • Ability to assess data quality, completeness, consistency, and analytical usefulness
  • Ability to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs
  • US Citizenship and the ability to obtain an FAA Public Trust clearance

Desired Additional Qualifications
  • Experience supporting FAA, aviation, NAS, air traffic management, transportation, defense, logistics, infrastructure, command center, risk, or other complex operational environments
  • Experience with cloud-based data environments, especially AWS, Glue, Athena, Redshift, SageMaker, Databricks, Snowflake, or similar
  • Experience working with data lakes, data warehouses, lakehouse environments, or multi-source data integration environments
  • Experience with dashboarding or visualization tools such as Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, or similar platforms
  • Familiarity with LLMs, agentic AI systems, retrieval-augmented generation (RAG), prompt/context engineering, AI-enabled workflows, or model/output evaluation
  • Experience supporting human-in-the-loop analytics, AI output validation, data quality frameworks, or decision-support governance
  • Experience working with requirements data, schedule data, risk data, dependency data, operational performance data, or program execution data
  • Familiarity with APIs, JSON, Parquet, data pipelines, ETL/ELT concepts, metadata, lineage, or data governance concepts
  • Experience contributing lightweight code to dashboards, data workflows, APIs, or analytics applications

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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