Portfolio Performance Analyst
Lead performance monitoring analysis and management support tools and processes to enable actionable business intelligence insights and reporting for stakeholders across asset portfolio. Responsible for the enterprise-wide implementation and management of Asset Performance Management (APM) solutions and the continued development and deployment of data science machine learning (DSML) activities.
Minimum Qualifications:
- Masters degree or PhD from a recognized university in engineering fields related to power- and water generation sector and educational or practical appliance of computer science machine learning applied statistics mathematics.
Minimum Experience:
- Minimum of 10 years of experience in large process plant and industrial settings with experience in Industrial financial and non-financial KPIs and BPIs and SAP/Oracle/Maximo/MS Dynamics or equivalent ERP environments.
Job-Specific Skills (Generic / Technical):
- Experience in quantitative analysis (stochastic calculus PDEs Monte Carlo methods and numerical methods) and analytical and statistical methods preferred.
- Knowledge and experience on programming languages: R Python SQL and Time Series data acquisition systems like SQL Kafka Streams etc.
- Expert level knowledge and experience in MS 365 Microsoft Fabric Power BI Power Automate and Power Apps
- IT project management experience implementing data warehousing products (Oracle SAP Maximo etc.) business intelligence tools such as Qlik Tableau etc.
- Strong background in collaboration and innovation technical and business understanding of data ETL (extract transform load) data cleaning (validation verification false positives).
Adaptability to a multinational environment with wide exposure to various cultures and customs. Ability to work with teams from diverse cultural backgrounds in multiple locations