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Australian Renewable Energy Client seeks a Data Analytics Support Specialist to deliver accurate analytics for PV, BESS, and wind projects. You will validate data, monitor KPI results, and generate client reports, collaborating with the Australian team to ensure timely delivery.
Proficiency in Power BI, Excel, Word, and at least one programming language (Python or VBA) is required, along with experience using a CMMS. Knowledge of time-series data analytics for power plants is a plus.
Our Australian client is seeking a skilled Data Analytics Support Specialist to support their team in delivering accurate and high-quality analytics for renewable energy projects. The role focuses on Photovoltaics (PV), Battery Energy Storage Systems (BESS), and Wind power plants, ensuring reliable data validation, KPI monitoring, and client reporting.
Follow and apply established processes, templates, and procedures provided by the Australian team.
Validate automated data exclusions and apply manual exclusions when needed.
Manage site- and component-level event exclusions/inclusions and ensure accuracy of event details within the internal ticketing system.
Perform sanity checks on standard KPI calculations and client-specific contractual KPI results.
Conduct initial debugging and investigation of data or KPI-related issues.
Prepare and generate client reports across multiple formats (Power BI, Word, PCF, etc.).
Collaborate closely with the Australian team to ensure timely and accurate delivery of analytics outputs.
Strong working knowledge of Microsoft Word, Excel, and Power BI.
Proficiency in at least one programming language (Python or VBA preferred).
Experience using a CMMS (Computerized Maintenance Management System).
Understanding of Solar Power Plants and solar energy fundamentals.
Basic knowledge of Battery Energy Storage Systems (BESS).
Familiarity with Wind power generation concepts is an advantage.
Experience handling time-series data analytics for power stations, including:
Active power, reactive power, voltage, frequency
Control schemes and performance assessments (theoretical vs. actual outputs)
Strong analytical and problem-solving skills.
High attention to detail and accuracy in data validation.
Ability to work independently while maintaining consistent communication with the Australian team.
Proactive and eager to learn new technologies within the renewable energy sector.