Asset Intelligence Engineer

About the role

Bamboohr is seeking a dedicated Asset Intelligence Engineer to join our innovative team in Magaliessig, Sandton. In this pivotal role, you will be responsible for leveraging data analytics and engineering principles to enhance the performance and reliability of our solar energy assets. Your expertise will contribute to optimizing asset management strategies and ensuring that our renewable energy solutions meet the highest standards of efficiency and sustainability. If you are passionate about renewable energy and have a strong analytical mindset, we invite you to apply and help us drive the future of solar energy.

Key facts

What you'll do

• Analyze performance data from solar energy assets to identify trends, anomalies, and opportunities for improvement.
• Develop and implement predictive maintenance strategies to minimize downtime and enhance asset longevity.
• Collaborate with cross-functional teams to ensure seamless integration of asset intelligence solutions into existing systems.
• Create detailed reports and dashboards that provide insights into asset performance for stakeholders at all levels.
• Conduct root cause analysis of asset failures and develop actionable recommendations to prevent recurrence.
• Utilize machine learning algorithms to enhance predictive analytics capabilities and improve decision-making processes.
• Monitor and evaluate the effectiveness of implemented strategies, adjusting as necessary to achieve optimal performance.
• Stay updated on industry trends and advancements in asset management technologies to ensure Bamboohr remains at the forefront of innovation.
• Provide technical support and training to team members on asset intelligence tools and methodologies.
• Participate in project planning and execution, ensuring that asset intelligence initiatives align with organizational goals.
• Engage with external partners and vendors to explore new technologies and solutions that can enhance our asset management capabilities.
• Contribute to the development of best practices and standard operating procedures for asset intelligence processes.

Requirements

• Bachelor's degree in Engineering, Data Science, or a related field.
• A minimum of 3 years of experience in asset management or data analytics, preferably within the renewable energy sector.
• Proficiency in data analysis tools such as Python, R, or similar programming languages.
• Strong understanding of solar energy systems and their operational characteristics.
• Experience with data visualization tools like Tableau or Power BI to communicate complex data insights effectively.
• Familiarity with predictive maintenance techniques and machine learning applications in asset management.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication skills, both written and verbal, to convey technical information to non-technical stakeholders.
• Attention to detail and a commitment to delivering high-quality work in a fast-paced environment.

Nice to have

• Master's degree in a relevant field or an MBA with a focus on energy management.
• Certification in data analytics or asset management (e.g., Certified Asset Management Assessor).
• Experience with energy management software and tools specific to the solar industry.
• Knowledge of regulatory frameworks and standards governing renewable energy assets.
• Familiarity with project management methodologies and tools (e.g., Agile, Scrum).
• Previous experience working in a startup or fast-paced environment.

Skills & tools

• Data analysis and visualization: Python, R, Tableau, Power BI
• Asset management software and tools
• Predictive maintenance techniques
• Machine learning algorithms
• Strong analytical and problem-solving skills
• Effective communication and collaboration abilities

Practical notes

• The position is based in Magaliessig, Sandton, and may require occasional travel to project sites.
• Candidates must be eligible to work in South Africa; visa sponsorship is available for exceptional candidates.
• The role may involve working outside of regular hours during critical project phases or system updates.
• Interested applicants should submit their resumes and cover letters through the provided application link.

META

Company: Bamboohr

Title: Asset Intelligence Engineer

Listed

location: Magaliessig, Sandton

Job type: Full-time

Apply URL: https://candisolar.bamboohr.com/careers/178

Tags: Engineering