Data Analyst

2 weeks ago

Melbourne, Victoria, Australia D'Arcy Weil Full time
Collaborate with cross-functional teams to integrate data from various sources

  • Utilize statistical and machine learning techniques to enhance forecasting
  • Contribute to strategic decisionmaking 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 indepth analysis of historical energy consumption patterns and market trends to identify patterns and correlations.
  • Collaborate with crossfunctional 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 decisionmaking 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.
  • Handson experience with data visualization tools (e.g., Tableau, Power BI) to present insights in a clear and compelling manner.
  • Solid understanding of statistical methods, timeseries 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 nontechnical stakeholders effectively.
  • Strong problemsolving and criticalthinking abilities, with a proactive approach to identifying opportunities for process improvement.

Benefits:

  • Comprehensive health and wellness programs.
  • Generous leave entitlements to support worklife 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 cuttingedge 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 forwardthinking 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.

____________________________

____________________________

For further information, please contact:

D'Arcy Weil
St James Building, Mezzanine

555 Bourke Street, Melbourne VIC 3000

T:

**We thank all applicants for their interest

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