Data Analyst

Collaborate with cross-functional teams to integrate data from various sources
- Utilize statistical and machine learning techniques to enhance forecasting
- Contribute to strategic decision-making with insightful reports on energy demand

**D'Arcy Weil is representing a renowned leader in the energy industry, is currently seeking a highly skilled and motivated Data Analyst - Energy Forecasting to join their dynamic team.**

This position presents an exciting opportunity with our client to contribute to the ongoing improvement of their forecasting and influence key decision-making processes.

**Responsibilities**:

- Conduct in-depth analysis of historical energy consumption patterns and market trends to identify patterns and correlations.
- Collaborate with cross-functional teams to gather and integrate data from various sources, such as power stations, weather forecasts, economic indicators, and energy demand drivers.
- Develop, calibrate, and maintain energy forecasting models using statistical and machine learning techniques.
- Monitor and evaluate the performance of forecasting models, making necessary adjustments to improve accuracy and reliability.
- Assist in the development and implementation of data quality checks to ensure the integrity of forecasting inputs and outputs.
- Produce regular reports and insights on energy demand and supply projections, contributing to strategic decision-making and market assessments.
- Collaborate with external stakeholders, including energy providers, government agencies, and research institutions, to exchange knowledge and improve industry forecasting practices.

**Requirements**:

- Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or a related field. A Master's degree is a plus.
- Proven experience (5+ years) as a Data Analyst or similar role, preferably in the energy sector or related industries.
- Strong proficiency in data manipulation, cleaning, and analysis using programming languages such as Python, R, or SQL.
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to present insights in a clear and compelling manner.
- Solid understanding of statistical methods, time-series analysis, and machine learning techniques for forecasting.
- Familiarity with energy market fundamentals and electricity demand/supply dynamics is desirable.
- Demonstrated ability to work with large and complex datasets, ensuring data integrity and accuracy.
- Excellent communication skills, both verbal and written, to convey technical information to non-technical stakeholders effectively.
- Strong problem-solving and critical-thinking abilities, with a proactive approach to identifying opportunities for process improvement.

**Benefits**:

- Comprehensive health and wellness programs.
- Generous leave entitlements to support work-life balance.
- Flexible working arrangements, allowing for remote work and flexible hours when appropriate.
- Opportunities for professional development and training to enhance skills and expertise.
- Access to cutting-edge technologies and tools for data analysis and forecasting.
- The chance to work in a dynamic and collaborative team environment, fostering knowledge sharing and continuous learning.
- Contributing to a critical mission of providing energy security and reliability.
- Being part of a forward-thinking organization that values innovation and embraces emerging technologies.
- Engaging with external stakeholders and industry experts to broaden professional networks and stay at the forefront of industry advancements.
- A supportive and inclusive workplace culture that values diversity and promotes equal opportunities for all employees.

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**For further information, please contact**:
**D’Arcy Weil**
St James Building, Mezzanine

555 Bourke Street, Melbourne VIC 3000

**T**:+61 3 9999 7409

**We thank all applicants for their interest