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Principal Operations Analyst Jobs (NOW HIRING)

$76K - $103K/yr

The Operations Analyst Principal compiles information to help make decisions regarding military strategy. Responsibilities managing people and resources. * Excellent communication, influence, and ...

MTSI is seeking an Operations Analyst, Senior Principal who will provide operational analysis and modeling and simulation support for acquisition and technology development programs focused on ...

DataCT's core staff, CT Plan stakeholders, SIP Processors, auditors, and principal service ... The Operations Analyst is a key contributor to that mission. #hc232875

We are seeking a Principal Sales Operations Analyst to join our team. This is a hybrid opportunity based out of Waltham, MA. Job Summary The Principal Sales Operations Analyst is an integral role on ...

We are seeking a Principal Sales Operations Analyst to join our team. This is a hybrid opportunity based out of Waltham, MA. Job Summary The Principal Sales Operations Analyst is an integral role on ...

Intelligence Operations and Analysis Job Qualifications: Skills: Analytical Thinking, Communication, Prioritization, Systems Design Certifications: None Experience: 10 + years of related experience ...

The Finance Principal serves as a senior functional expert and strategic advisor, providing deep ... Mentor and develop senior FP&A talent, elevating analytical capability across the team and ...

The Finance Principal serves as a senior functional expert and strategic advisor, providing deep ... Mentor and develop senior FP&A talent, elevating analytical capability across the team and ...

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Principal Operations Analyst information

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$33

$56

How much do principal operations analyst jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for principal operations analyst in the United States is $33.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $40.38 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Principal Operations Analysts, and how can they be addressed?

Principal Operations Analysts often encounter challenges such as managing complex, cross-functional projects and ensuring alignment among diverse stakeholders. They may also face issues with data integration from multiple sources and balancing strategic oversight with hands-on problem solving. To address these challenges, it's important to leverage strong communication skills, utilize advanced analytics tools, and foster collaborative relationships both within the operations team and across departments. Proactively seeking feedback and staying updated on industry best practices can also help Principal Operations Analysts navigate these complexities effectively.

What does a principal analyst do?

A principal operations analyst is responsible for analyzing and improving business processes, data, and operational efficiency. They often lead projects, develop strategies, and use tools like data analytics software to support decision-making and optimize performance within an organization.

What is the difference between Principal Operations Analyst vs Operations Analyst?

AspectPrincipal Operations AnalystOperations Analyst
Required CredentialsBachelor's degree, often advanced certifications in operations or analyticsBachelor's degree, relevant certifications optional
Work EnvironmentStrategic, cross-departmental projects, leadership involvementData analysis, process improvement, reporting tasks
Employer & Industry UsageLarge corporations, finance, tech, healthcareVaried industries, entry to mid-level roles

The Principal Operations Analyst typically holds more advanced certifications and works on strategic initiatives, often leading projects and collaborating across departments. Operations Analysts focus on data analysis and process improvements at an operational level. The principal role involves higher responsibility and strategic planning, while the analyst role emphasizes data-driven support tasks.

Are operations analysts in demand?

Operations analysts are in demand across various industries due to their role in improving efficiency, analyzing data, and supporting decision-making. The demand is driven by organizations seeking to optimize processes and often requires skills in data analysis tools and process improvement methodologies.

Do OPS analysts need a degree?

Principal Operations Analysts typically benefit from a bachelor's degree in fields such as business, operations, or related areas, though some roles may accept equivalent work experience. Skills in data analysis, problem-solving, and familiarity with tools like Excel or SQL are also important for the position.

What are Principal Operations Analysts?

Principal Operations Analysts are senior professionals responsible for analyzing, improving, and overseeing the operational processes of an organization. They use data-driven approaches to identify inefficiencies, recommend enhancements, and implement best practices across different departments. In addition to technical analysis, they often lead cross-functional teams, manage large-scale projects, and provide strategic guidance to leadership. Their expertise helps organizations optimize performance, reduce costs, and drive continuous improvement.

What are the key skills and qualifications needed to thrive as a Principal Operations Analyst, and why are they important?

To thrive as a Principal Operations Analyst, you need strong analytical skills, expertise in operations management, and a relevant degree such as business, finance, or engineering. Mastery of data analytics tools (e.g., SQL, Tableau), ERP systems, and sometimes Six Sigma or PMP certification is typically required. Exceptional problem-solving, leadership, and communication skills help you effectively drive process improvements and influence stakeholders. These skills and qualifications are vital for optimizing business operations, ensuring efficiency, and supporting strategic decision-making.

What does an operations analyst do?

An operations analyst evaluates and improves business processes to increase efficiency and reduce costs. They analyze data, develop reports, and recommend solutions, often using tools like Excel or data management software. Strong analytical skills and attention to detail are essential for this role.
More about Principal Operations Analyst jobs
What cities are hiring for Principal Operations Analyst jobs? Cities with the most Principal Operations Analyst job openings:
What states have the most Principal Operations Analyst jobs? States with the most job openings for Principal Operations Analyst jobs include:
Infographic showing various Principal Operations Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,210 per year, or $33.8 per hour.
Principal Operations Data Analyst

Principal Operations Data Analyst

PG&E Corporation

Oakland, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 26 days ago


Job description

Requisition ID # 171393 

Job Category: Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Department Overview 

The Procurement Organization includes a staff of more than two hundred sourcing managers, buyers, analysts, and supplier diversity personnel. Our mission is to deliver cost effective and valued procurement services through strategic, diverse, and sustainable business solutions. Our work requires close integration with all lines of business, finance, and our suppliers.

The Procurement Excellence Center (PEC) is a strategic function dedicated to driving procurement transformation, operational efficiency, and value creation across the organization. Within the Procurement organization, the PEC establishes best practices, standardizes processes, and leverages advanced analytics and market intelligence to enable data-driven decision-making. The PEC collaborates with all Procurement teams to enhance capabilities, improve performance, and optimize costs. Key focus areas include market intelligence and analytics, digital procurement transformation, risk management, supplier relationship management, governance, and capability development.

Position Summary

The Principal Operations Data Analyst  drives advanced analytics and modeling efforts to support strategic, data‑driven decisions across PG&E’s Procurement Excellence Center. The role leads complex initiatives that enhance procurement performance, operational efficiency, and cost optimization.

This role is accountable for identifying, prioritizing, and deploying AI use cases across Procurement and Supply Chain, from problem framing through production deployment and value realization. The Principal Operations Data Analyst acts as a bridge between business, digital, and IT teams to operationalize AI solutions that improve productivity, reduce cost, manage risk, and enhance supplier collaboration. 

This position is hybrid, working from your remote office and Oakland based on business needs or company requirements. 

PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint <$140,000 - $189,000>. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Bay Area Min: $140,000

Bay Area Mid: $ 189,000

Bay Area Max: $ 238,000

Reporting Relationship

The Principal Operations Data Analyst will report to the Sr Director, Procurement Excellence Center.

Job Responsibilities

  • Owns the end‑to‑end lifecycle of AI use cases across Source‑to‑Pay and Supply Chain, including ideation, business case development, pilot execution, scaling, and sustained adoption.
  • Partners with Procurement, Supply Chain, IT, Digital, and Data teams to translate business problems into deployable AI solutions.
  • Measures and communicates realized value (cost savings, cycle‑time reduction, risk mitigation, productivity gains) from AI deployments.
  • Leads the design and deployment of agentic AI and intelligent automation solutions across Source‑to‑Pay and Supply Chain processes, including sourcing, contracting, buying, supplier management, and fulfillment.
  • Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues. Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
  • Applies advanced analytics and data engineering techniques to support AI- driven decision making Presents/communicates clear, concise and actionable data analyses for clients.
  • Acts as team lead and provides direction to less experienced employees.
  • May work with Senior Management to develop business related strategy, leveraging data in decision making.
  • Ensures data quality, governance, and traceability across integrated tools and analytical models.

Background Qualifications

Minimum

  • BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
  • 8 Years related work experience

Desired

  • 6 Years in Supply Chain and Procurement as a data analyst or a data scientist
  • Masters Degree
  • Hands‑on experience deploying machine learning, generative AI, or agent‑based systems into production business workflows for Supply chain
  • Experience operationalizing AI solutions within enterprise platforms (e.g., SAP, Ariba, or adjacent procurement technologies).
  • Familiarity with utility operations.
  • Understanding of SAP and Ariba
  • Ability to influence senior leaders and drive adoption of AI‑enabled ways of working.
  • Advanced skill in writing SQL queries using Oracle or Business Objects
  • Expertise in project management to lead large, cross functional projects and develop concise data findings for Sr. Management.