Planning Data And Business Intelligence Analyst

Job Purpose-

• Strategic focus: Prioritizing PPD initiatives and projects with fixed timelines and budget that can be offloaded from core personnel onto contractors to enable core personnel to focus on strategic and operational objectives.
• Service improvement: Timely and efficient delivery of specific PPD initiatives and projects with single point accountability.
• Cost optimization through in-house and on-the-job knowledge and skills transfer from the implemented initiatives and projects without depending on external vendors.
• Effective vendor and internal functional coordination based on expertise and focused collaboration with relevant stakeholders.

Key Responsibilities-

A. AI & Advanced Analytics:

• Design and implement AI/ML models for production forecasting, anomaly detection, and optimization.
• Develop predictive analytics for equipment reliability, deferment reduction, and hydrocarbon loss management.
• Integrate AI solutions with real-time production systems and hydrocarbon accounting platforms.
• Expertise in AI/ML frameworks (Python, TensorFlow, PyTorch).

B. Business Intelligence (BI) Development:

• Build and maintain BI dashboards for production planning, hydrocarbon accounting and allocation, and performance monitoring.
• Automate reporting workflows using tools like Power BI, Tableau, Qlik, or similar.
• Ensure dashboards provide actionable insights for operations, planning, financial and commercial teams.
• Develop interactive data visualizations, dashboard creation and reporting automation for the budget (New systems, Department requirements, etc.)

C. Data Management & Integration:

• Oversee data acquisition from PHD, HEMS, DCS, systems, and hydrocarbon accounting systems (e.g.,

Energy Components, SAP IS-Oil).

• Ensure data quality, integrity, and consistency across multiple sources.
• Implement ETL processes and manage data pipelines for analytics and visualization.

D Visualization & Decision Support:

• Develop interactive visualizations for production trends, allocation breakdowns, and forecast accuracy.
• Provide intuitive tools for management to analyze KPIs and make informed decisions.
• Support scenario planning and “what-if” analysis for production optimization.

E. Digital Transformation & Automation:

• Drive initiatives for digital oilfield implementation and smart hydrocarbon accounting.
• Automate manual processes in planning and reporting using AI and RPA (Robotic Process Automation).
• Champion data-driven culture and train stakeholders on analytics tools.

F. Governance & Compliance:

• Ensure compliance with data security, regulatory reporting, and corporate standards.
• Maintain audit trails for all data transformations and analytics outputs.

G. Role-Specific / Best-Practice KPIs

• Accuracy and reliability of AI-driven forecasts.
• Reduction in manual reporting time through BI automation.
• Improvement in decision-making speed and quality.
• Data integrity and system uptime for analytics platforms.

Experience- More than 10 years of relevant experience.

Technical Competencies-

• Exposure to BI tools (Power BI, Tableau, Qlik).
• Basic knowledge of data engineering (SQL, ETL processes).
• Understanding of visualization and reporting techniques for technical and non-technical audiences.
• Proficiency in MS Excel (charts, trend analysis) and MS Office tools.
• Awareness of oil & gas production systems and digital transformation concepts
• Familiarity with document management and reporting tools (MS Word, Adobe Acrobat).

Working Schedule-

• ADNOC normal working hours with weekends and holidays.
• The project duration is 3 years, with an optional extension of an additional 2 years.