Portfolio Performance Analyst

JOB PURPOSE:

Lead company’s performance monitoring, analysis, and management support tools and processes to enable actionable business intelligence, insights, and reporting for stakeholders across company’s asset portfolio. Responsible for the enterprise-wide implementation and management of company’s Asset Performance Management (APM) solutions, and the continued development and deployment of company’s data science machine learning (DSML) activities.

Description:

• Devise data mining for all phases of predictive analytics, including ETL (extract, transform, load), data cleaning, and supervised and unsupervised APM and other DSML modelling and model training. Deploy AI and neural network algorithms to map and collect data from multiple data systems on premises and cloud-based data sources.
• Analyse company’s asset and portfolio performance data, produce and disseminate standardized and ad hoc reporting to management. Benchmark assets and portfolio performance against industry leading performance. Provide recommendations for continuous improvements and performance enhancing business practices and models.
• Responsible for APM and DSML program scalability, efficiency, and progress of work in accordance with business plans, schedules, established standards, and resource allocation in accordance with good industry practices.
• Support the design, development, and administration of company’s digitization vision, strategy, implementation, and governance.
• Leverage performance monitoring and management platforms to assure effective risk management and business control in accordance with good industry practices, contractual requirements, and stakeholder goals and objectives.
• Regularly measure performance management process effectiveness and efficiency metrics and manage remedial actions in collaboration with company Asset Management and local asset leaders.
• Conduct detailed financial analyses for the assets, including budget management, cost control, and profitability assessments. Calculate and monitor financial metrics such as the Internal Rate of Return for each asset class.
• Manage interfaces with stakeholders to oversee APM and DSML projects, ensuring alignment with schedules and budgets. Foster a transparent, collaborative, and inclusive management style. Mentor key personnel in developing EtraPro and DSML knowledge and skills.

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 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.