Data Analytics Support Specialist (Renewable Energy)

DBOS is hiring a Data Analytics Support Specialist for renewable energy projects, focusing on PV, BESS, and Wind power. Responsibilities include data validation, KPI monitoring, and generating client reports. Candidates should have strong skills in Microsoft Office and Power BI, familiarity with programming (Python or VBA), and knowledge of solar and battery systems. The role requires attention to detail and the ability to work independently while collaborating with the Australian team.
Overview

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.

Key Responsibilities
• 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.

Required Proficiencies
• 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).

Knowledge & Experience
• 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)

Desired Attributes
• 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.