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Operational Analytics Jobs in Virginia (NOW HIRING)

The Operations Analyst will support the Office of the Under Secretary of War for Acquisition and Sustainment (OUSW(A&S)), which plays a critical role within the Department of War (DoW). This role is ...

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The Operations Analyst will support the Office of the Under Secretary of War for Acquisition and Sustainment (OUSW(A&S)), which plays a critical role within the Department of War (DoW). This role is ...

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 ...

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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 Jun 12, 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.

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 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 jobs pay 200,000 a year in the USA?

Operational Analytics roles, such as senior data analysts or analytics managers, can reach or exceed a $200,000 annual salary with extensive experience, advanced skills in data modeling, and proficiency in tools like SQL and Python. High-level positions in finance, technology, and consulting firms also often offer salaries at this level for experienced professionals. Certifications like CFA or PMP can further enhance earning potential in related fields.

What is the job of an operations analyst?

An operations 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.

Do OPS analysts need a degree?

Operational analysts typically do not require a specific degree, but many employers prefer candidates with a bachelor's degree in fields like business, data analytics, or operations management. Relevant skills such as data analysis, proficiency with tools like Excel or SQL, and experience with operational processes can also be important for the role.

What skills do you need to be an operations analyst?

Operations analysts need strong analytical skills, proficiency in data analysis tools like Excel, SQL, or Tableau, and a good understanding of business processes. They should also have problem-solving abilities, attention to detail, and effective communication skills to interpret data and recommend improvements.
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:
Data Scientist

Full-time

Posted 20 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

45th of 426 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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