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Operational Analytics Jobs (NOW HIRING)

Develop and support asset frameworks, data models, dashboards, reporting, and operational analytics. * Troubleshoot historian, database, interface, and data quality issues. * Lead system upgrades ...

As the Operational Analyst, you will support the delivery, modification, and implementation of the P-8A Poseidon aircraft in support of the Foreign Military Sales Team. In this role, you will support ...

Operational Analyst

Patuxent River, MD · On-site

$100K - $115K/yr

As the Operational Analyst, you will support the delivery, modification, and implementation of the P-8A Poseidon aircraft in support of the Foreign Military Sales Team. In this role, you will support ...

This role focuses on product user experience, operational health, service performance, capacity ... The Manager, Platform Analytics defines how platform health is measured, ensures operational data ...

Sr. Operations Analyst

Oxford, MA · On-site

$78K - $104K/yr

Reporting and Operational Analytics: * Maintain and optimize automated operational KPIs reports and dashboards to improve transparency, efficiency, and data-driven decision-making within Operations.

New

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 ...

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Operational Analytics information

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$64.5K

$125.3K

$179K

How much do operational analytics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for operational analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 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.
More about Operational Analytics jobs
What cities are hiring for Operational Analytics jobs? Cities with the most Operational Analytics job openings:
What are the most commonly searched types of Operational Analytics jobs? The most popular types of Operational Analytics jobs are:
What states have the most Operational Analytics jobs? States with the most job openings for Operational Analytics jobs include:
Infographic showing various Operational Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
SCADA PI Analyst

SCADA PI Analyst

Fusion HCR

Las Vegas, NV

Full-time

Re-posted 12 days ago


Job description

Senior Analyst / Systems (PI Historian)

Fusion HCR is seeking a Senior Analyst / Systems (PI Historian) to support and enhance enterprise operational data and historian platforms within a critical utility environment. This role will be responsible for the administration, support, integration, and optimization of the OSIsoft PI / AVEVA PI System, helping deliver reliable operational data, reporting, analytics, and business intelligence solutions.

Responsibilities
  • Administer and support PI Data Archive, PI AF, PI Vision, Interfaces, and Connectors.

  • Design and maintain integrations between PI, SCADA, OT systems, and enterprise applications.

  • Develop and support asset frameworks, data models, dashboards, reporting, and operational analytics.

  • Troubleshoot historian, database, interface, and data quality issues.

  • Lead system upgrades, testing, implementations, and change management activities.

  • Collaborate with Operations, Engineering, Infrastructure, and Cybersecurity teams.

  • Support a highly available 24x7 operational environment.

Qualifications
  • 5+ years of experience supporting OSIsoft PI / AVEVA PI environments.

  • Strong experience with PI Data Archive, PI AF, PI Vision, and PI Interfaces.

  • Experience in utilities, energy, oil & gas, manufacturing, or other critical infrastructure environments.

  • Knowledge of SCADA, OT/ICS systems, and industrial data integrations.

  • Experience with SQL, reporting tools, and operational analytics.

  • Strong troubleshooting, communication, and project management skills.

Preferred
  • Utility or natural gas industry experience.

  • Knowledge of OPC, Modbus, DNP3, and industrial communications.

  • Experience with Power BI and operational reporting solutions.

  • Relevant PI System, infrastructure, or cybersecurity certifications.

If you're passionate about operational data, industrial systems, and building scalable historian solutions that drive business decisions, we'd love to connect.