Portfolio Performance Analyst

About the job 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 :

Master's 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 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

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