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Energy Operations Analyst Jobs in Seattle, WA (NOW HIRING)

Meta

Energy Integration Manager

Seattle, WA

$160K/yr

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep ... Hands-on experience applying AI/automation to operational or analytical work, with sound judgment ...

PitchBook Data

Deal Desk Analyst

Seattle, WA · On-site

We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates ... The Revenue Operations department is responsible for creating, maintaining, and continually ...

PitchBook Data

Go-To-Market Analyst

Seattle, WA · On-site

We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates ... The Revenue Operations team sits at the center of PitchBook's go-to-market engine, translating data ...

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How much do energy operations analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for energy operations analyst in Seattle, WA is $38.41, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $45.96 per hour, depending on experience, location, and employer.

What is an energy operations analyst?

Energy Operations Analysts are professionals who monitor, analyze, and optimize the production, distribution, and consumption of energy within organizations or utility companies. They use data analysis and modeling to improve operational efficiency, reduce costs, and ensure compliance with regulations. Their work often involves collaborating with engineers, IT specialists, and management to support decision-making in energy procurement, usage, and sustainability initiatives.

What are some typical challenges faced by energy operations analysts when monitoring energy markets and how are they addressed?

Energy Operations Analysts often encounter challenges such as rapidly changing market conditions, fluctuating supply and demand, and the integration of renewable energy sources. Addressing these challenges requires strong analytical skills, proficiency with real-time data monitoring tools, and effective communication with trading, engineering, and regulatory teams. Analysts frequently participate in cross-functional meetings to share insights and collaborate on optimizing energy dispatch, balancing grid reliability, and ensuring regulatory compliance.

What are the key skills and qualifications needed to thrive as an energy operations analyst, and why are they important?

To thrive as an Energy Operations Analyst, you need strong analytical and quantitative skills, a solid understanding of energy markets, and at least a bachelor’s degree in engineering, finance, or a related field. Familiarity with data analysis tools such as Excel, SQL, and energy management systems, as well as knowledge of industry regulations, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for optimizing energy operations, ensuring regulatory compliance, and supporting strategic decision-making in a dynamic industry.

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Energy Integration Manager

Meta

Seattle, WA

$160K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Integrate energy data across teams by connecting fragmented sources into a decision-grade portfolio view.

  • Enhance portfolio health visibility by transforming reporting into continuous, predictive, and trusted insights.

  • Apply AI and automation tools to scale portfolio reporting, detect anomalies, and support procurement decisions.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep specialist strength across data, analytics, asset management, and energy origination — but the connective tissue between them, the shared view of portfolio health, and the operating cadence that turns those signals into procurement decisions are still maturing. This role builds the connective tissue.This is a force-multiplier role for the entire Energy organization: one person owning how our teams' data, decisions, and execution come together into a single, trusted, AI-accelerated view of portfolio health — and using it to unlock faster, sharper, more confident energy procurement at scale. It is explicitly complementary to our specialist teams: it does not replace their judgment or own their functions; it makes each of them faster, more connected, and more visible to leadership.
Energy Integration Manager Responsibilities:
  • Integrate energy data across the org by partnering with data and analytics teams to connect fragmented sources into a coherent, decision-grade portfolio picture — defining the shared data model, definitions, and source of truth that asset management, origination, and wholesale all rely on
  • Up-level portfolio health visibility by taking reporting from periodic and manual to continuous, predictive, and trusted — surfacing risk, exposure, and opportunity early enough to act on, and setting the metrics, cadence, and review forums leadership runs the portfolio by
  • Expand the operating model across all Energy teams by bringing a consistent, lightweight program operating system to data, analytics, asset management, energy origination, and wholesale — ensuring cross-team initiatives have clear ownership, dependencies are visible, and execution doesn't stall at the seams between functions
  • Apply AI to scale the work by standing up AI and agentic tooling that automates portfolio reporting, flags anomalies and risks, drafts decision briefs, and compresses the time from data to insight to procurement action — serving as the org's pathfinder for where AI meaningfully accelerates energy operations
  • Be a thought partner to all energy and partner teams by translating the integrated portfolio view into clear, executive-ready narratives that drive resourcing, prioritization, and procurement strategy for the years ahead

Minimum Qualifications:
  • Demonstrated experience standing up operating cadences, portfolio/health reporting, and governance that leaders actually run their business by
  • Proven track record of leading complex, cross-functional programs or operations in energy and infrastructure
  • Hands-on experience applying AI/automation to operational or analytical work, with sound judgment on where it adds leverage versus where it does not
  • Strong data fluency — comfortable defining metrics and data models, working directly with analytics teams, and turning messy multi-source data into trusted decision-grade reporting
  • Executive communication skills with the ability to distill complexity into crisp narratives for leadership and influence without authority across specialist teams

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Background spanning both technical (data/analytics) and commercial (procurement/origination/wholesale) contexts
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Domain knowledge of large energy portfolio metrics, energy markets, procurement, and the energy origination process
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and familiarity with responsible AI practices including risk assessment and quality reviews
  • Experience driving alignment and operational cohesion across multiple teams by establishing shared processes, visibility, and cross-functional coordination
  • Experience building AI/agentic workflows in a production setting (e.g., automated reporting, anomaly detection, decision-support tooling) with demonstrated ability to optimize/redesign workflows and drive measurable impact

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$160,000/year to $232,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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