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Senior Associate, Power & Renewables
Aurora Energy Research. Lead long-term forecasts of wholesale and ancillary service markets, including power and capture prices, arbitrage revenues, and renewable and battery storage asset economics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading analytical projects within the energy sector, focusing on renewable and battery storage economics, while effectively managing teams and fostering client relationships. Proficient in advanced data analytics and AI tools to derive insights from complex quantitative data.
Highest-signal resume keywords
Energy Sector ExperienceProject ManagementAdvanced Data AnalyticsLeadership and Team ManagementClient Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Advanced Data AnalyticsPythonRSQLAdvanced ExcelQuantitative AnalysisEconomic ModellingProblem StructuringHypothesis TestingAI Tools
Soft Skills
Communication SkillsTeam CollaborationCoaching and MentoringCuriositySelf-Starter
Certifications & Qualifications
Master’s DegreePhD
Industry Keywords
Renewable EnergyBattery StoragePower MarketsEnergy PolicySupport SchemesProject PipelinesArbitrage RevenuesSouth East EuropeClient EngagementAnalytical Insights
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead long-term forecasts of wholesale and ancillary service markets, including power and capture prices, arbitrage revenues, and renewable and battery storage asset economics
- Work with the modelling team to structure economic problems into quantifiable analyses and deliver rigorous insights for clients’ decisions
- Build specialist knowledge of energy policy, support schemes, project pipelines, and renewable and battery storage business cases in assigned South East Europe markets
- Scope projects, define analytical approaches, and lead project teams across parallel projects
- Contribute to work and staffing plans two to six months ahead, prioritise insights and products, and manage risks
- Line manage and coach two to seven colleagues and support their development
- Lead workshops and present at client meetings, roundtables, webinars, and industry events
- Build relationships with client counterparts
- Improve research processes, including repeatable AI-enabled approaches
- Work with modelling and software teams to translate analytical priorities into subscription products
Requirements
What you’ll need- At least 3 years of experience in the energy sector
- Demonstrated success in project and process management in team-oriented environments
- Passion for delivering high quality analytical projects and developing people
- Ability to structure problems, form and test hypotheses, and derive insight from complex quantitative data
- Ability to communicate clearly and co-operate effectively with technically and non-technically minded people, including in client meetings and workshops
- Practical, curious approach to using AI tools in day-to-day analytical work
- Self-starting, entrepreneurial mind-set, and genuine interest in the energy transition
- Excellent command of written and spoken English
- Communication skills in one or more SEE languages desirable
- Leadership, team management or mentoring experience desirable
- Commercial understanding of renewable, thermal or storage projects desirable
- Familiarity with SEE power markets, regulation and support schemes desirable
- Competence in advanced data analytics such as Python, R, SQL, or advanced Excel desirable
- Strong academic record, such as a Master’s degree or PhD, desirable
Benefits
Comp & perks- Meal Cards
- Private Medical Insurance
- Employee Assistance Programme (EAP)
- Holiday Entitlement
- Hybrid Working
- Adjustable working hours may be discussed during the interview process