Analyste, Prévision de Charge (H/F)

Job Description

We've been proudly Aussie since 1837, always finding new ways to innovate in energy and essential services. Now, we're moving towards a sustainable future through electrification and investing in renewable energy-and we'd like you to join us. Whether you're on-site, in the office, or somewhere in between, you'll find opportunities to grow your career here. You'll work with a team that's passionate about powering Australian lives, in a culture that values inclusivity, respect, and learning. Help us create a cleaner energy future, and we'll back you every step of the way as you build your career.

About the role

The Load Forecasting team is a critical part of the Integrated Portfolio Planning business unit, providing key load forecasting and portfolio analysis expertise. The team primarily develops systems, models, reports and processes that drive Trading & Portfolio Management and related functions to actively manage and report on AGL's commodity portfolios. The Load Forecasting team is also central in deriving insights and value from complex models, including trading, portfolio valuation and risk quantification models.

The Load Forecasting Analyst is responsible for the development, operation and maintenance of short to medium term electricity and gas demand forecasts, as well as enhancement of those forecasts, adding value through excellence in the provision of high-quality quantitative and qualitative analysis of customer demand which enables effective management of AGL's hedge position. They will also build knowledge and provide support to the Market Modelling, Forecasting & Pricing group as required.

As the biggest portfolio in the energy market, quality analytics and stakeholder interaction with trading is vital to ensure that profitability and risk are optimised. You will have access to good technology and processes, but there is always room for improvement, which will be supported by you.

What you'll be doing

• Drive gross margin through the provision of accurate and timely demand forecasts to manage trading positions and support commercial outcomes
• Provision of high-quality quantitative and qualitative analysis of customer demand enabling effective management of AGL's hedge position
• Accurate, real-time load forecasting critical to facilitating gas nominations and power station dispatch
• Work closely with the Pricing Manager to achieve cross collaboration between the Forecasting and Pricing teams
• Understanding stakeholder needs and delivering outcomes to multiple stakeholders with varying objectives
• Represent Trading & Portfolio Management in forecasting discussions with internal and external stakeholders
• Provide input into the design, development, deployment and continual improvement of AGL's in-house forecasting capability
• Management and improvement of forecasting systems and models
• Provide strategic insights and market trends for decision making processes
• Ensure ongoing alignment to AGL's risk policies and procedures
• Participation in a rotating on-call roster (1 week on, 5 weeks off), with applicable roster allowance.

About You

You will be an experienced Analyst that can develop innovative models and trading systems that can drive AGL's ability to meet and exceed expectations on the changing energy market and emerging risks. You won't be working with Scrum teams; instead, you will build and take ownership of the trading systems yourself, with the support of the team. You will enjoy working with trading and analytical teams where the supportive culture and focus on continuous improvement are key.

What you'll bring to the table

• Hold a relevant tertiary qualification, such as a degree in Commerce, Mathematics or Engineering.
• Programming and IT experience: (Python, R, SQL or equivalent)
• Knowledge and experience in energy, financial or commodity trading or a quantitative discipline
• Ability to manage competing priorities in a dynamic environment
• Stakeholder management and relationship building skills
• Ability to clearly convey complex data, analytical and modelling insights to stakeholders with a diverse range of knowledge and experience.
• Strong modelling skills
• Ability to develop strategies to balance risk and return
• Advanced presentation, communication, interpersonal, influencing and negotiations skills
• Nice to have: Experience with Databricks.

At AGL, we offer a wide range of benefits including

• Flexible working options including hybrid work
• Discounts on energy, telcos and solar plans
• Participate in Energise - our reward & recognition program
• Access 20 weeks of paid parental leave for the primary carer
• Access to an additional week of recharge leave per year
• Play an active role in our diversity & inclusion initiatives
• Novated leasing and Electric Vehicle subscriptions
• Access to study assistance, AGL's share purchase plan and insurance deals

Benefits may change over time and vary based on role type and location.

We'd love to see your application, submitted by the 17th June.

Inclusion at AGL

At AGL, we value diversity and welcome applicants from various backgrounds, including Aboriginal and/or Torres Strait Islander peoples, individuals with disabilities, culturally diverse individuals, and members of the LGBTQ+ community. AGL is dedicated to maintaining a diverse workforce and encourages applicants to share their lived experiences.
We offer reasonable adjustments throughout the recruitment process and respect the privacy of those who choose not to disclose. To learn more visit: www.agl.com.au/careers

AGL is proud to be a WORK180 Endorsed Employer for All Women.

Our pre-employment screening process includes a Nationally Coordinated Criminal History Check and a medical assessment if necessary.

The information provided as part of your application to AGL will be managed in accordance with the AGL Privacy Policy.

AGL does not accept agency submissions unless approval has been granted by a member of the Talent Acquisition team. Candidates submitted by an agency without approval will not be considered by AGL.