Energy Analyst Career Path Guide

Energy Analysts evaluate energy consumption patterns, market trends, and regulatory impacts to optimize energy systems, forecast demand, and support sustainable energy strategies. They provide actionable insights for utilities, corporations, governments, and research organizations by analyzing complex data sets, modeling scenarios, and recommending improvements for energy efficiency and cost reduction.

9%

growth rate

$85,000

median salary

remote-friendly

πŸ“ˆ Market Demand

Low
High
High

The demand for Energy Analysts is currently high, driven by global commitments to decarbonization, expanding renewable energy portfolios, and advanced grid modernization projects. Organizations require data-driven insights to optimize energy use and comply with evolving regulations, creating sustained growth opportunities in this field.

πŸ‡ΊπŸ‡Έ Annual Salary (US, USD)

60,000β€”110,000
Median: $85,000
Entry-Level
$67,500
Mid-Level
$85,000
Senior-Level
$102,500

Top 10% of earners in this field can expect salaries starting from $110,000+ per year, especially with specialized skills in high-demand areas.

Core Functions of the Energy Analyst Role

Energy Analysts play a pivotal role in the modern energy landscape, bridging the gap between raw energy data and strategic decision-making. Their work supports organizations in understanding consumption behaviors, identifying opportunities for efficiency, and assessing the financial and environmental implications of energy use. Analysts delve into large datasets gathered from smart meters, energy management systems, and market reports, applying statistical tools and analytical models to transform data into clear, evidence-based guidance.

In an era defined by sustainability goals and volatile energy markets, the role of an Energy Analyst expands beyond traditional sectors. They often collaborate with engineers, policymakers, and business leaders to model energy supply and demand scenarios, evaluate renewable integration, and optimize resource allocation. Analytical rigor is paired with an understanding of regulatory environments, climate policies, and emerging technologies like smart grids and energy storage.

Beyond technical proficiency, Energy Analysts serve as communicators who distill complex energy patterns into coherent narratives for diverse stakeholders. Their insights enable better operational efficiency, risk management, and long-term planning. Whether supporting a utility’s load forecasting or helping a manufacturing firm reduce its carbon footprint, Energy Analysts shape the sustainable energy strategies that underpin economic growth and environmental stewardship worldwide.

Key Responsibilities

  • Collect, validate, and analyze large-scale energy consumption and production data from various sources including smart meters, sensors, and market databases.
  • Develop forecasting models to predict energy demand and supply fluctuations under different economic and environmental scenarios.
  • Assess energy market trends, including pricing, regulatory changes, and technological innovations, to advise stakeholders on risk and opportunity.
  • Evaluate the feasibility and financial viability of energy projects such as renewable integration, energy efficiency upgrades, and infrastructure improvements.
  • Prepare detailed reports and presentations summarizing findings, recommendations, and strategic energy plans for management or clients.
  • Collaborate with engineers and technical teams to model energy systems and simulate performance under variable conditions.
  • Monitor compliance with energy regulations and standards, ensuring organizational adherence to policies and sustainability goals.
  • Identify opportunities for cost savings through energy efficiency measures and operational optimizations.
  • Use software tools to visualize energy data trends and provide actionable insights.
  • Support procurement decisions by analyzing supplier contracts, market prices, and consumption patterns.
  • Engage with external stakeholders including government agencies, research institutions, and industry bodies to gather market intelligence.
  • Maintain up-to-date knowledge of global energy markets, emerging technologies, and regulatory environments.
  • Assist in developing sustainability and carbon reduction strategies aligned with corporate social responsibility standards.
  • Conduct sensitivity analyses and risk assessments related to energy price volatility and supply disruptions.
  • Train junior analysts and support cross-functional teams in effective energy data utilization.

Work Setting

Energy Analysts typically work in office settings within energy companies, consulting firms, government agencies, or research organizations. The role demands extensive time working on computers using data analysis and modeling software, often involving collaboration with multidisciplinary teams through meetings and presentations. Depending on the employer, some travel may be required to energy sites, regulatory meetings, or conferences. The work environment is generally professional but can be fast-paced, especially when responding to market changes or policy developments. Remote work opportunities are increasing but vary based on employer and project requirements. Work hours usually align with regular business hours; however, analysts may face tight deadlines or urgent briefs requiring extended hours.

Tech Stack

  • Microsoft Excel (Advanced functions, Pivot Tables)
  • Python (for data analysis and scripting)
  • R (statistical computing)
  • MATLAB (modeling and simulation)
  • Tableau (data visualization)
  • Power BI
  • SQL (database querying)
  • EnergyPlus (building energy simulation software)
  • HOMER Energy (microgrid and hybrid system modeling)
  • PJM or ERCOT Market Data Tools (regional energy market analysis)
  • SAS (advanced analytics)
  • Google Cloud Platform / AWS for data processing
  • ArcGIS (geospatial analysis)
  • Jupyter Notebooks
  • Bloomberg Terminal (energy market data)
  • OpenEI datasets and APIs
  • RETScreen (clean energy project analysis)
  • GAMS (General Algebraic Modeling System)
  • Oracle Primavera (project scheduling)
  • Scrum and Agile project management tools

Skills and Qualifications

Education Level

A bachelor's degree in fields such as Energy Management, Environmental Science, Engineering (Electrical, Mechanical, or Environmental), Economics, or Data Science is typically required. Advanced degrees such as a Master’s or PhD specializing in energy systems, renewable technologies, or energy economics are highly valued and often open the door to senior analytical or research roles. Foundational coursework includes thermodynamics, energy economics, statistics, and data analytics. Candidates benefit from hands-on experience with energy modeling software and programming languages used for data manipulation and forecasting.

Certifications and continuing education play a vital role in staying current with evolving industry standards and technologies. Professional credentials like Certified Energy Manager (CEM) or LEED accreditation demonstrate proficiency and commitment to sustainability principles. Many employers also look for candidates with knowledge of regulatory environments and energy markets, which may come from specialized courses or direct experience. Practical skills paired with formal education build the critical thinking and problem-solving abilities essential for success in this field.

Tech Skills

  • Energy data analysis and interpretation
  • Statistical modeling and forecasting techniques
  • Proficiency in Python and R for data science
  • Use of advanced Excel features and VBA scripting
  • Energy simulation software (EnergyPlus, HOMER, RETScreen)
  • Database management and querying with SQL
  • Geospatial data analysis using ArcGIS
  • Visualization with Tableau and Power BI
  • Understanding of energy market structures and tariffs
  • Knowledge of renewable energy technologies
  • Familiarity with regulatory compliance and reporting
  • Financial modeling for energy project viability
  • Data cleaning and preprocessing
  • Risk assessment and scenario analysis
  • Use of cloud computing for big data analytics

Soft Abilities

  • Analytical thinking and problem-solving
  • Effective written and verbal communication
  • Collaboration and teamwork
  • Attention to detail
  • Adaptability to evolving technologies
  • Project management abilities
  • Presentation and data storytelling
  • Time management and organization
  • Curiosity and continuous learning
  • Decision-making under uncertainty

Path to Energy Analyst

Embarking on a career as an Energy Analyst begins with obtaining a solid educational foundation in relevant STEM or social science fields such as engineering, physics, environmental science, or economics. Prospective candidates should focus on courses centered around energy systems, statistics, and data analytics to build applicable technical knowledge.

Internships and entry-level positions provide invaluable exposure to real-world energy challenges, allowing you to apply theoretical concepts while developing practical skills. Engaging with cross-disciplinary teams during this stage will deepen your understanding of how energy data influences decision making across corporate and regulatory landscapes.

Building proficiency in analytical tools and programming languages like Python, R, SQL, and Excel is essential. Many employers expect familiarity with specialized energy software including EnergyPlus or HOMER, so investing time in mastering these platforms increases employability. Certifications such as Certified Energy Manager (CEM) or those from the Association of Energy Engineers can demonstrate expertise and commitment.

Networking through industry conferences, professional associations, and online forums can open doors to mentorship and job opportunities worldwide. Keep abreast of global energy trends by reading journals, reports, and regulatory updates. As you progress, consider advanced degrees or specialization tracks in energy economics or data science to qualify for senior roles.

Cultivating strong communication and project management skills enhances your effectiveness since conveying complex analyses clearly to technical and non-technical audiences is a daily responsibility. Pursue cross-functional collaboration and leadership roles to transition into team lead or consultancy positions. Continual learning and adaptability are key, given the rapid evolution of technologies and policy frameworks in the energy sector.

Required Education

A Bachelor’s degree is the conventional starting point for aspiring Energy Analysts, with common majors including Energy Engineering, Environmental Science, Mechanical or Electrical Engineering, Economics, and Data Science. These programs typically incorporate interdisciplinary coursework that integrates principles of thermodynamics, statistics, and energy policy. Graduates emerge with the analytical foundation required to interpret complex energy data sets and model consumption patterns.

For those seeking to enhance their competitive edge, pursuing a Master’s degree in specialized areas like Sustainable Energy Systems, Energy Economics, or Renewable Energy Technologies provides deeper technical knowledge and research experience. Graduate education facilitates the development of advanced modeling skills and familiarity with policy implications in a global contextβ€”an advantage when working with international clients or cutting-edge projects.

Training for Energy Analysts often involves certifications such as the Certified Energy Manager (CEM) qualification offered by the Association of Energy Engineers, which attests to expertise in energy audits, efficiency measures, and management practices. LEED accreditation can supplement this by emphasizing sustainable design principles. Additional training in data analytics platforms, programming languages like Python or R, and energy market simulation software is typically acquired through online courses, bootcamps, or employer-led professional development programs.

On-the-job training allows analysts to hone their ability to translate raw data into actionable business intelligence. Many organizations also encourage participation in industry conferences and workshops to stay updated on evolving regulations, emerging technologies, and market dynamics. Continuous education is paramount given the rapid shift toward decarbonization and smart grid modernization, demanding Energy Analysts remain agile and well-informed.

Career Path Tiers

Junior Energy Analyst

Experience: 0-2 years

At the junior level, individuals focus heavily on developing technical capabilities such as data collection, cleaning, and basic analysis under supervision. Responsibilities include supporting senior analysts by preparing reports, learning to use specialized software, and understanding regulatory frameworks. This tier is characterized by on-the-job training and immersion in energy systems fundamentals. Junior analysts build foundational skills through routine data processing tasks and assisting in market research to contribute actionable insights.

Mid-level Energy Analyst

Experience: 3-5 years

Mid-level analysts take on greater responsibilities, including developing and validating forecasting models and conducting sensitivity analyses independently. They often lead small projects and begin advising internal and external stakeholders on energy strategies and efficiency improvements. Mid-level analysts serve as a critical link between technical teams and management, delivering clear presentations and reports. They deepen specialization in sectors such as renewables, grid management, or energy economics while enhancing cross-functional collaboration.

Senior Energy Analyst

Experience: 6-9 years

Seniors provide strategic direction by managing complex analytics projects with broad impact. They mentor junior staff, oversee large-scale scenario modeling, and contribute to corporate or governmental policy planning regarding energy usage and sustainability. Their expertise extends to advanced financial and risk assessment of energy investments. Senior analysts cultivate stakeholder relationships and influence decisions at organizational and regulatory levels, blending deep technical knowledge with policy awareness.

Lead Energy Analyst / Manager

Experience: 10+ years

At this level, professionals lead teams, design entire analytical frameworks, and define business objectives aligned with future energy trends. They are key players in innovation initiatives such as integrating renewables or smart grid technologies. Responsibilities include supervising multi-disciplinary groups, managing budgets, and engaging in high-level negotiations with regulators and partners. Leaders shape organizational energy strategies and ensure alignment with climate commitments while guiding industry best practices.

Global Outlook

Global demand for Energy Analysts is accelerating due to the universal pursuit of sustainable, efficient, and resilient energy systems. Developed regions such as North America, Europe, and parts of Asia lead in adopting renewable technologies and implementing stringent energy policies, creating abundant opportunities for analysts skilled in regulatory compliance, market forecasting, and carbon reduction.

In the United States, the expansion of smart grid infrastructure and clean energy initiatives fuels hiring across utilities, consulting firms, and government agencies. Europe’s ambitious Green Deal and carbon neutrality targets stimulate roles focused on integrating renewables and energy storage solutions. Countries like Germany, the Netherlands, and the UK actively invest in energy modeling expertise to navigate the complex interplay of markets and policy incentives.

Rapidly developing economies in China, India, and Brazil also present growing demand as they balance industrial expansion with emissions control. Here, Energy Analysts work on large-scale power system optimizations, energy access projects, and emerging technology assessments.

International organizations such as the International Energy Agency (IEA) and World Bank hire analysts to support global energy transition projects. Remote consultancy and contractual work are becoming more common, allowing analysts to support multinational clients and cross-border initiatives. Fluency in multiple languages and awareness of regional energy contexts enhance global mobility and career advancement.

The convergence of data science and energy policy creates a global niche for professionals who can integrate technical insights with commercial and environmental considerations, reflecting the worldwide shift toward sustainable energy futures.

Job Market Today

Role Challenges

Energy Analysts face the complex challenge of navigating rapidly changing market conditions alongside evolving regulatory frameworks aimed at decarbonization. Volatile fuel prices, geopolitical risks, and the intermittency of renewable resources add layers of uncertainty complicating forecasting models. Analysts must constantly update their methodologies to incorporate new data sources such as real-time sensor feeds from smart grids. Furthermore, merging legacy infrastructure with cutting-edge technologies like battery storage and demand response requires multidisciplinary knowledge. Accessing accurate, high-quality data is another obstacle, as data fragmentation and standardization issues limit comprehensive analyses. The pressure to deliver actionable insights while balancing environmental and financial objectives often requires nuanced stakeholder management and effective communication.

Growth Paths

Growth is robust as global energy systems undergo an unprecedented transformation driven by climate action and technological innovation. Energy Analysts are increasingly sought to support renewable integration, energy efficiency programs, and digitalization efforts in grid management. Expansion in electric vehicle infrastructure, smart metering, and corporate sustainability reporting creates new analytical roles. Advancements in artificial intelligence and machine learning open doors to enhanced predictive modeling capabilities, equipping analysts with more powerful tools to anticipate demand and optimize dispatch. Emerging sectors like hydrogen economy and carbon capture also promise diversification of analytical responsibilities. Corporate commitments to net-zero emissions and government stimulus packages targeting clean energy accelerate the need for specialized talent, fostering career growth and cross-sector mobility.

Industry Trends

Current trends emphasize the integration of big data analytics with emerging energy technologies. The proliferation of IoT devices within energy networks generates vast data streams for real-time insights. Analysts are adopting AI-driven predictive analytics to improve demand response and renewable generation forecasting. Blockchain applications for energy trading and grid security represent another forward-looking trend. Decentralization of energy production challenges traditional centralized modeling approaches, requiring new frameworks for distributed resources. Sustainability reporting and Environmental, Social, and Governance (ESG) criteria are becoming integral to analytical work, reflecting stakeholder demand for transparency. Electrification of transportation and industry further shifts load profiles, necessitating dynamic modeling techniques. The growing role of policy frameworks like carbon pricing, subsidies, and emissions trading schemes also directly impacts analytical outputs and strategy formulation.

A Day in the Life

Morning (9:00 AM - 12:00 PM)

Focus: Data Collection & Initial Analysis
  • Retrieve and cleanse energy consumption and production data from databases and external sources.
  • Run preliminary statistical analyses to detect anomalies or trends.
  • Check validity and completeness of data sets, coordinating with data engineers if necessary.
  • Monitor market updates and regulatory announcements relevant to ongoing projects.

Afternoon (12:00 PM - 3:00 PM)

Focus: Modeling & Scenario Development
  • Use software tools to build and refine energy demand and supply forecasting models.
  • Simulate different scenarios considering policy changes, technological adoption, or economic shifts.
  • Analyze results and assess risk factors impacting energy project viability.
  • Engage with colleagues in engineering or finance teams to validate assumptions.

Late Afternoon (3:00 PM - 6:00 PM)

Focus: Reporting & Collaboration
  • Prepare detailed reports summarizing analytical findings and recommendations.
  • Create visual dashboards for leadership presentations using Tableau or Power BI.
  • Participate in meetings to discuss project progress and align on energy strategies.
  • Respond to ad-hoc analytical requests from internal or external stakeholders.

Work-Life Balance & Stress

Stress Level: Moderate

Balance Rating: Good

The role of an Energy Analyst generally offers a balanced work-life structure, with most tasks conforming to standard office hours. Stress can intensify during periods of critical reporting deadlines or when reacting to sudden market shifts. Nonetheless, the profession provides intellectual stimulation and the opportunity to contribute to meaningful sustainability objectives, which many find rewarding. Flexibility has increased with remote working technologies, though some hands-on or collaborative phases require in-person presence. Time management and organizational skills help maintain a sustainable work pace.

Skill Map

This map outlines the core competencies and areas for growth in this profession, showing how foundational skills lead to specialized expertise.

Foundational Skills

Core technical and analytical competencies that every Energy Analyst must master to succeed.

  • Energy Data Collection and Validation
  • Basic Statistical Analysis
  • Energy Systems Fundamentals
  • Excel and Spreadsheet Modeling

Advanced Analytical Skills

Specialized analytical capabilities that enable deeper insights and modeling sophistication.

  • Demand and Supply Forecasting Models
  • Simulation Software (EnergyPlus, HOMER)
  • Machine Learning Applications in Energy
  • Risk and Sensitivity Analysis

Technological & Software Proficiency

Tools and platforms that facilitate data processing, visualization, and modeling tasks.

  • Python and R Programming
  • SQL Database Querying
  • Tableau & Power BI Visualization
  • GIS and Spatial Analysis

Professional & Interpersonal Skills

Essential soft skills and professional capabilities for workplace success.

  • Effective Communication & Presentation
  • Project and Time Management
  • Collaboration and Stakeholder Engagement
  • Strategic Thinking and Problem Solving

Pros & Cons for Energy Analyst

βœ… Pros

  • Engage in meaningful work supporting sustainability and environmental goals.
  • Opportunities to work on innovative technologies such as renewables and smart grids.
  • Strong job growth prospects fueled by industry transformation.
  • Diverse career paths in consulting, government, utilities, and research.
  • Intellectual challenge through complex data analysis and problem-solving.
  • Ability to influence strategic decisions and policy development.

❌ Cons

  • Data quality and availability can be inconsistent, complicating analysis.
  • Can require long hours during critical reporting periods or market shocks.
  • Continuous learning is necessary due to fast-paced technological change.
  • Balancing economic objectives with environmental considerations can be difficult.
  • May involve navigating complex regulatory and political environments.
  • Some roles have limited remote work options depending on the employer.

Common Mistakes of Beginners

  • Relying too heavily on raw data without validating or cleansing it first, leading to inaccurate conclusions.
  • Underestimating the complexity of energy market dynamics and regulatory impacts on analysis.
  • Failing to communicate technical results in a clear, accessible manner to non-technical stakeholders.
  • Ignoring the importance of interdisciplinary collaboration with engineers, economists, and policy experts.
  • Rushing to apply models without properly testing assumptions or conducting sensitivity analyses.
  • Overlooking emerging technologies and trends that could disrupt traditional energy forecasts.
  • Neglecting continuous skill development in new analytical tools and programming languages.
  • Not documenting methodologies and assumptions clearly, which impairs replicability and trust.

Contextual Advice

  • Focus early on developing strong statistical and programming skills relevant to energy data sets.
  • Seek internships or project experience with energy companies or consulting firms to gain practical exposure.
  • Study current energy policies and market structures to understand the real-world impact of analysis.
  • Cultivate the ability to translate complex data findings into compelling narratives for diverse audiences.
  • Embrace cross-functional teamwork and actively learn from experts in related fields.
  • Stay updated with emerging energy technologies and innovations shaping the sector.
  • Build proficiency in visualization tools to present data insights more effectively.
  • Prioritize documenting your analytical processes and validating your results rigorously.

Examples and Case Studies

Grid Load Forecasting for a Major Regional Utility

An Energy Analyst team at a large U.S. utility company developed advanced forecasting models incorporating real-time smart meter data and weather patterns to optimally balance grid loads. By integrating machine learning techniques, they improved demand predictions by 15%, enabling more efficient resource allocation and reducing operational costs by millions annually.

Key Takeaway: Incorporating big data and AI into traditional forecasting can significantly enhance accuracy and support smarter grid management strategies.

Renewable Integration Assessment for a Manufacturing Firm

An Energy Analyst was tasked with evaluating the feasibility of adding solar energy to an existing industrial plant’s power mix. Using scenario modeling and financial analysis, the analyst demonstrated potential cost savings of 20% over 10 years and helped the company secure green energy incentives, aligning economic benefits with sustainability goals.

Key Takeaway: Thorough scenario simulation paired with financial insight empowers decision makers to confidently invest in clean energy solutions.

Policy Impact Analysis for Government Energy Program

Working with a governmental energy agency, an analyst evaluated the likely effects of proposed carbon pricing regulations on local utilities and consumers. Utilizing economic modeling and stakeholder data, the analysis informed the design of support mechanisms to mitigate costs for vulnerable communities while steering the market towards emissions reductions.

Key Takeaway: Energy analysis directly supports equitable policy formation by assessing economic and social impacts comprehensively.

Portfolio Tips

Building a compelling portfolio as an Energy Analyst involves showcasing your ability to transform complex energy data into actionable insights. Start by including thorough case studies of projects where you led or contributed significantly to data collection, forecasting, or scenario modeling efforts. Highlight your use of specific tools such as Python, R, or energy simulation software to demonstrate technical competence. Include visualizations β€” dashboards, charts, maps β€” that tell clear, impactful stories about energy consumption or market trends.

Detail your methodology and assumptions for each project, emphasizing problem-solving approaches and how your analyses influenced decisions or improved outcomes. Incorporate any collaborative work done with multi-disciplinary teams to illustrate communication and teamwork skills.

If possible, add certifications like CEM or LEED alongside academic credentials to reinforce your technical expertise. Consider maintaining a public GitHub repository with code samples or Jupyter notebooks that illustrate your programming prowess and transparency.

Tailor your portfolio sections toward the sectors or geographic regions you wish to target, underscoring experience with specific regulatory environments or renewable technologies relevant to prospective employers. Regularly update your portfolio as you gain new experiences or master emerging analytical techniques to reflect your career progression and adaptability.

Job Outlook & Related Roles

Growth Rate: 9%
Status: Growing faster than average
Source: U.S. Bureau of Labor Statistics

Related Roles

Frequently Asked Questions

What educational background do I need to become an Energy Analyst?

Typically, a bachelor's degree in Energy Engineering, Environmental Science, Economics, or related fields is required. Pursuing advanced degrees or certifications can significantly enhance expertise and job prospects, especially with a focus on energy systems, analytics, or sustainability.

Which software tools are essential for Energy Analysts?

Key tools include Microsoft Excel, Python, R, SQL, and visualization platforms like Tableau or Power BI. Specialized energy modeling software such as EnergyPlus, HOMER, and RETScreen are also frequently used.

Can Energy Analysts work remotely?

Remote work is possible in many cases, especially when handling data analysis and modeling tasks. However, roles involving site visits, stakeholder engagement, or hands-on collaboration may require on-site presence, depending on the employer.

What are common challenges faced by Energy Analysts?

Challenges include managing volatile energy markets, inconsistent data quality, rapidly evolving technologies, and balancing economic with environmental objectives within complex regulatory frameworks.

How can I gain practical experience as a beginner in this field?

Internships, entry-level roles, or project-based learning through university programs help build foundational skills. Engaging in energy-related competitions, workshops, or volunteering for sustainability initiatives also adds valuable experience.

What industries employ Energy Analysts the most?

Utilities, renewable energy companies, government agencies, consulting firms, manufacturing, and research institutions are primary employers. Growing demand also exists in tech firms specializing in smart grid and energy data analytics.

How important are soft skills for Energy Analysts?

Soft skills like effective communication, problem-solving, teamwork, and adaptability are crucial. Analysts must translate complex data into clear insights for diverse audiences and collaborate across disciplines.

What career advancement opportunities exist for Energy Analysts?

Career progression includes moving from junior to senior analyst roles, leading projects or teams, specializing in renewable energy or policy analysis, and advancing into management or consultancy positions.

What certifications improve an Energy Analyst's credentials?

Certifications like Certified Energy Manager (CEM), Leadership in Energy and Environmental Design (LEED), and specialized data analytics or project management credentials can significantly boost credibility.

How is the job market for Energy Analysts expected to evolve?

The job market is projected to grow strongly due to increasing emphasis on decarbonization, renewable development, and data-driven energy solutions, making energy analysis a vital function across sectors globally.

Sources & References

Share career guide

Jobicy+ Subscription

Jobicy

578 professionals pay to access exclusive and experimental features on Jobicy

Free

USD $0/month

For people just getting started

  • • Unlimited applies and searches
  • • Access on web and mobile apps
  • • Weekly job alerts
  • • Access to additional tools like Bookmarks, Applications, and more

Plus

USD $8/month

Everything in Free, and:

  • • Ad-free experience
  • • Daily job alerts
  • • Personal career consultant
  • • AI-powered job advice
  • • Featured & Pinned Resume
  • • Custom Resume URL
Go to account β€Ί