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- Tasks: Lead power market modelling and price forecasting to drive strategic decisions.
- Company: Dynamic renewable energy developer with a focus on solar, wind, and storage projects.
- Benefits: Competitive salary, hybrid work schedule, comprehensive health benefits, and generous paid time off.
- Why this job: Join a mission-driven team making a real impact in the renewable energy sector.
- Qualifications: 4-7 years in power markets, strong analytical skills, and proficiency in Excel and Python.
- Other info: Enjoy a family-friendly culture with great perks and stunning views of Downtown Durham.
The predicted salary is between 36000 - 60000 £ per year.
A utility-scale solar, wind, and storage developer headquartered in North Carolina, with expertise in developing, originating, financing, constructing, and operating solar photovoltaic, wind, and storage projects. Their strategy includes greenfield development, co-development, and acquisitions of later-stage projects. Our client has developed and achieved commercial operation on over 80 solar projects with an aggregate generating capacity of approximately 1.2 GW.
POSITION SUMMARY: The Power Market Analytics Manager will play a pivotal role in power market modeling, price forecasting, and providing insights to support strategic decision-making. Reporting to the VP of Power Marketing and Origination, responsibilities include data analysis, simulation and modeling, market research, and collaborating with cross-functional teams. Strong analytical, mathematical, and coding skills, along with market knowledge and the ability to communicate effectively, are essential for success in this role. This is a full-time position located in Durham, NC.
RESPONSIBILITIES
- Deliver fast, high-quality data analysis in Excel and Python to meet time-sensitive power market modeling and reporting needs.
- Perform power market modeling and long-term price, nodal basis, and curtailment forecasting.
- Use production cost modeling tools such as Hitachi PROMOD to simulate future power markets and provide price forecasting.
- Build and maintain a suite of in-house software tools and data pipelines for energy market analysis using Excel, Python, and/or other programming languages.
- Model and evaluate the impact of market design changes and topological changes, such as new generation, new storage, and transmission line buildouts on future energy prices.
- Conduct new market entry analyses to support the company's development and M&A efforts.
- Communicate clearly and succinctly with audiences of different backgrounds during meetings and presentations.
SKILLS AND PERSONAL QUALITIES
- Strong experience with production cost modeling software such as PROMOD, Aurora, and PLEXOS is a plus.
- Proficiency with modeling the transmission network in a commercial production cost modeling / SCED / power flow software tool is a plus.
- Coursework in at least one of the following areas: power system analysis, power system economics, power markets, or power system operations and planning. Relevant work experience may be considered as a substitute for coursework.
- Strong analytical skills, ability to solve problems with limited information, attention to detail and organization.
- Self-starter that operates well in an entrepreneurial and collaborative environment.
- Strong sense of accountability, taking ownership over projects and responsibilities and resolving issues proactively.
- Proficient in MS Office including Word, Excel, and PowerPoint.
- Excellent oral and written communication and presentation skills.
- Strong organization and management skills.
EDUCATION/PROFESSIONAL EXPERIENCE
- 4-7 years of experience in power markets with a solid understanding of pricing mechanisms, market structures, and key components.
- Bachelor of Science in Electrical Engineering (Power Systems), Computer Science, Data Science, Operations Research, Economics, Math, or other quantitative fields of study.
- Must be highly proficient and fast in Excel and Python-based data analysis, including the ability to perform real-time calculations (e.g., lookups, formulas, scripts).
- Relevant work experience in the power industry (e.g., ISO/RTO, utilities, energy trading firms, software vendors, or consulting) is preferred.
Total Rewards Package
Our client offers a family-friendly culture with a hybrid schedule of 3 days in the Durham office and 2 days working from home. Our attractive compensation package offers:
- Competitive Base Salary
- Generous Bonus Program
- 401(K) company match with immediate vesting
- Comprehensive Medical, Dental, and Vision Benefits
- Company-sponsored HRA and employee-funded FSA and DCA available
- EAP Benefits
- Company paid Long and Short Term Disability, Life and AD&D Insurance
- Cell Phone Reimbursement Plan
- Flexible Paid Time Off and allotted Sick Time
- 12 Paid Holidays
In addition to the compensation package we also boast robust perks which include:
- Provided Setup of at-home Tech
- Company-paid downtown Durham Parking next to the Durham Bulls Stadium
- Free access to our building's state-of-the-art gym
- Discount program for popular locations and services
- Amazing rooftop views of Downtown Durham
Power Market Analytics Manager in Bath employer: Green Recruitment Company
Contact Detail:
Green Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power Market Analytics Manager in Bath
✨Tip Number 1
Network like a pro! Reach out to folks in the power market industry on LinkedIn or at local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Excel and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of power markets and pricing mechanisms. Be ready to discuss how you've tackled similar challenges in past roles – real-world examples go a long way!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Power Market Analytics Manager in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Power Market Analytics Manager role. Highlight your analytical skills, coding experience, and any relevant projects you've worked on in power markets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about power market analytics. Share specific examples of how your background aligns with our needs and how you can contribute to our team.
Showcase Your Technical Skills: Since this role requires strong proficiency in Excel and Python, be sure to mention any relevant projects or experiences where you've used these tools. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Green Recruitment Company
✨Know Your Power Market Inside Out
Before the interview, dive deep into the current trends and challenges in power markets. Familiarise yourself with pricing mechanisms and market structures relevant to the role. This knowledge will not only impress your interviewers but also help you answer questions more confidently.
✨Show Off Your Analytical Skills
Prepare to discuss specific examples of how you've used Excel and Python for data analysis in previous roles. Bring along any relevant projects or models you've worked on, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Practice Clear Communication
Since the role requires effective communication with diverse audiences, practice explaining complex concepts in simple terms. You might even want to do a mock presentation to a friend or family member to refine your delivery and ensure clarity.
✨Be Ready for Technical Questions
Expect technical questions related to production cost modelling tools like PROMOD or Aurora. Brush up on your knowledge of these tools and be prepared to discuss how you've used them in past projects. This will show that you're not just familiar with the theory but can apply it practically.
