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Operational Analytics Jobs in Virginia (NOW HIRING)

The JAAW Group

MISTC Operations Analyst

Quantico, VA · On-site

Salary: MISTC Operations Analyst Location: Quantico, VAClearance Required:SecretEmployment Type:Full-Time About the Role The JAAW Group LLC is seeking MISTC Operations Analysts to support ...

The JAAW Group

MISTC Operations Analyst

Quantico, VA · On-site

MISTC Operations Analyst Location: Quantico, VA Clearance Required: Secret Employment Type: Full-Time About the Role The JAAW Group LLC is seeking MISTC Operations Analysts to support headquarters ...

ICI Services

Senior Operations Analyst

Norfolk, VA · On-site

As a Senior Operations analyst you will help determine better ways to coordinate and manage large organizations that require the effective use of money, materials, equipment, and people. This is ...

ICI Services

Senior Operations Analyst

Norfolk, VA

As a Senior Operations analyst you will help determine better ways to coordinate and manage large organizations that require the effective use of money, materials, equipment, and people. This is ...

Encore Talent Solutions

Operations Analyst

Ashburn, VA · On-site

Employ critical thinking to quickly identify and address operational issues and implement effective ... Analyze and interpret data to make informed decisions that can improve operational efficiency.

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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
Data Scientist

Data Scientist

Accenture Federal Services

Arlington, VA • On-site

Full-time

Posted 24 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizen life through technology. The Data Scientist will advance operational AI adoption and extract actionable insights from complex data sets, collaborating with cross-functional teams to integrate AI into scalable software delivery pipelines.
Responsibilities:
• Apply entity resolution, graph analytics, and geospatial analytics tools to extract actionable insights from complex data sets
• Design, build, and deploy explainable AI models using Python AI ecosystems, including Torch, Scikit-learn, and LLM frameworks
• Collaborate with cross-functional teams to integrate AI, DevSecOps, data engineering, platform engineering, and cybersecurity into scalable software delivery pipelines
• Support the adoption of operational AI through a modern Hub-and-Spoke architecture, enabling enterprise AI governance and agentic AI systems
• Contribute to the continuous monitoring and observability of AI-enabled workflows and mission-focused operational intelligence applications
• Work closely with stakeholders to ensure AI solutions align with mission objectives and enterprise requirements
• Participate in the integration and optimization of mission analytics and AI-enabled workflows for enhanced operational intelligence.
• Developing and deploying mission-critical analytics, supporting AI-enabled workflows, and driving predictive and operational intelligence applications
• Collaborate closely with multidisciplinary teams to integrate AI solutions into enterprise environments, ensuring robust governance, continuous monitoring, and scalable software delivery
• Directly impact the effectiveness of mission applications by leveraging advanced analytics and AI to inform decision-making and optimize operational outcomes.
Qualifications:
Required:
• Experience developing and implementing statistical analysis, predictive analytics, and operational analytics solutions to support mission-critical applications
• Experience with geospatial analytics tools, entity resolution techniques, and graph analytics
• Experience with explainable AI methods to enhance transparency, and operational analytics platforms to monitor and improve system performance
• Experience with integrating AI into DevSecOps pipelines, collaborating with cross functional teams
• US Citizen
• Active TS/SCI Clearance
Preferred:
• Experience with Python AI ecosystems, PyTorch, Scikitarn, and LLM frameworks for building and refining models
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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