Portfolio Performance Analyst

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