Our client is seeking a Performance Engineer join their team.
 
Key Responsibilities

• Responsible to establish, enhance, and support performance optimization and performance reporting
• Monitor key performance indicators to determine the overall health and performance of assets
• Collection, management, verification and further analysis and evaluation of turbine SCADA data that is collected via various turbine systems
• Collection, management, verification and further analysis and evaluation of BoP SCADA data that is collected via various BoP systems
• Identify technical issues affecting both turbine performance and the overall performance of the windfarm, recommend solutions and review their effectiveness to support the broader optimisation of wind farm performance.
• Provide support to the Asset and Operations and Maintenance team to resolve the faults, reliability and efficiency issues detected.
• Development of diagnostic and predictive analysis methods using Python, R, MATLAB or other scripting languages to quantify, analyse and track wind farm performance
• Support to help early identification of potential turbine component failures.
• Prepare and support the site-specific routine analysis/reporting with regards to the mentioned scope.
• Support the reliability test and power curve test analysis
• Responsible for the identification of new performance management areas to be supported with new analytics
• Carrying out Proof of Concepts
• Ensuring that value generating Proof of Concepts are implemented in the organisation
• Accountable for making sure that solutions are being documented and processes around them are established
• Ensure that availability warranties are monitored and evaluated to ensure a prompt and successful resolution of issues with contractors
• Support in conducting regular commercial reporting on contractual and commercial matter
• Ensure contractor’s commercial performance and improve when necessary
• Ensure that the regular commercial/contractual reporting to the CEO and shareholders is automated and integrated to the maximum extent possible
• Coordinate with internal stakeholders
• Reporting
  • Ensure asset performance monitoring and analysis
  • Ensure regular reporting is created on time / with the correct content
  • Ensure computerized interfaces are operational and maintained
• Data Analytics
  • Turning data into insight through analytics
  • Establish daily, weekly and monthly routines, which support the Asset and Operations Management team in optimizing the performance of the asset
  • Responsible for creating small dashboarding tools which improves the efficiency of the Asset and Operations Management team
  • Ensure performance issues are identified via a data driven approach
  • Impact and change behaviour through value adding analysis 

Requirements

• Bachelor’s or master’s degree in data science educations, physics, engineering and/or mathematical studies or possess similar analyst skills obtained through work experience (+5 Years)
• Experience working Performance Management of asset preferably within the offshore industry
• Excellent understanding of SCADA data and energy production method
• Proficient in Python or other similar programming languages
• Having a track record of delivering value adding Business Intelligence solutions
• Used to develop and deliver analysis with a short time to market
• Experience in delivering into all phases of the process from problem identification to solution finalization
• Solid analyst background and have a commercial mindset and the ability to work independently.
• Proficient in programming
• Proficient in Microsoft Office (PowerPoint, Excel, Outlook)
• Innovative
• Systematically in solving issues
• Strong communication skills (verbal and written)
• Tenacious self-starter, professional, organized and process driven
• Able to work independently
• Self-driven, proactive, and solution-oriented attitude
• Knowledge of data mining, troubleshooting, and reporting
• Experience with data analysis, design, database, and visualization tools (e.g., Python, R, SQL, Tableau)
• Must be comfortable working with large amounts of data

Apply Below Now !