Job Title: Portfolio Performance Analyst
Location: Doha, Qatar
Reporting to: Manager - Asset Management International
Division: Asset Management
Are you passionate about leveraging data science, machine learning, and performance analytics to optimize industrial asset portfolios? We are seeking a Portfolio Performance Analyst to drive data-driven insights, implement Asset Performance Management (APM) solutions, and support asset optimization strategies.
Role Overview
As a Portfolio Performance Analyst, you will be responsible for analyzing asset performance data, developing predictive models, and implementing digital transformation initiatives to enhance operational efficiency. You will play a critical role in integrating machine learning (ML), artificial intelligence (AI), and business intelligence (BI) tools into asset management framework.
Key Responsibilities
Data Analytics & Performance Management
- Lead predictive analytics projects, including ETL (Extract, Transform, Load), data mining, and AI-driven modeling for asset performance insights.
- Develop and deploy neural network algorithms to collect and analyze structured and unstructured data from cloud and on-premise sources.
- Create standardized and ad-hoc performance reports, benchmarking asset and portfolio performance against industry standards.
- Identify inefficiencies and recommend data-driven strategies to enhance asset reliability and profitability.
Asset Performance Management (APM) & Digital Transformation
- Manage the scalability and efficiency of APM and Data Science Machine Learning (DSML) initiatives, ensuring alignment with business plans.
- Support the development and implementation of digitization vision, including automation and IoT-enabled predictive maintenance.
- Ensure effective risk management and compliance with industry regulations through advanced performance monitoring and control frameworks.
- Optimize APM and DSML workflows, ensuring seamless integration into SAP, Oracle, Maximo, and Microsoft Dynamics.
Financial & Compliance Oversight
- Conduct financial modeling to assess asset profitability, Internal Rate of Return (IRR), and budget performance.
- Monitor financial and operational KPIs, ensuring alignment with regulatory and contractual requirements.
- Ensure compliance with data security protocols and regulatory standards across asset portfolio.
Stakeholder & Cross-Functional Collaboration
- Work closely with Business Development, Finance, and IT teams to ensure effective data integration across business functions.
- Provide technical leadership and mentorship on APM, DSML, and AI applications for asset management.
- Engage with external investors, asset managers, and regulatory bodies to ensure accurate reporting and compliance.
Continuous Improvement & Innovation
- Develop and implement leading and lagging performance indicators (KPIs & BPIs) for real-time decision-making.
- Identify opportunities for cross-industry collaboration on ML-based asset performance optimization.
- Prototype and deploy statistical models to uncover patterns and improve asset lifecycle management.
Qualifications & Experience
- Education: Master's or PhD in Engineering (Power/Water sector), Machine Learning, Applied Statistics, or Computer Science.
- Experience:
- Minimum 10 years in large-scale industrial process plants, with expertise in performance analytics.
- Proven experience in SAP, Oracle, Maximo, MS Dynamics, or equivalent ERP environments.
- Strong background in financial and non-financial KPI analysis for asset optimization.
Technical Skills & Expertise
- Proficiency in Python, R, SQL, Time-Series Analysis, and Data Warehousing.
- Expertise in Power BI, Power Automate, Microsoft Fabric, and cloud-based analytics tools.
- Experience in predictive modeling, Monte Carlo simulations, and stochastic calculus.
- Strong IT project management experience in business intelligence and APM software implementation.
- Knowledge of Kafka Streams, Azure AI, and IoT-based data acquisition.
Key Attributes & Soft Skills
- Strong analytical mindset with problem-solving and critical-thinking skills.
- Ability to collaborate across multi-cultural teams in an international business environment.
- Effective stakeholder management and ability to translate data into actionable insights.
- Commitment to continuous improvement and digital innovation.
Why Join Us?
- Work at the forefront of digital transformation in the power and water sector.
- Be part of a company leveraging AI, ML, and IoT to optimize global asset performance.
- Gain exposure to high-impact projects in energy and infrastructure.
- Competitive salary and benefits with long-term career growth potential.
If you have a passion for data-driven asset management and thrive in an innovation-driven environment, we invite you to apply and become part of digital transformation journey.