Planning Data & Business Intelligence Analyst

About the Role We are seeking a highly analytical Planning Data & Business Intelligence Analyst to support production planning, hydrocarbon accounting, operational performance monitoring, and digital transformation initiatives within a complex industrial environment. The successful candidate will leverage advanced analytics, business intelligence, data engineering, and AI technologies to enhance decision-making, optimize reporting processes, and drive operational excellence. Qualifications & Experience • Bachelor's degree in Engineering, Data Science, Computer Science, Information Systems, or a related discipline. • Minimum 10 years of relevant professional experience. • At least 5 years of experience in the Oil & Gas, Energy, Industrial Operations, Manufacturing, or Data Analytics sectors. • Basic understanding of production planning, performance management, and hydrocarbon accounting processes is desirable. • Familiarity with digital technologies, industrial data systems, and business intelligence platforms. • Strong analytical, problem-solving, and critical thinking skills. • Effective communication and presentation abilities. • Interest in and willingness to work with Artificial Intelligence, Machine Learning, and advanced analytics technologies. Key Competencies • Business Intelligence and analytics platforms such as Power BI, Tableau, Qlik, or equivalent tools. • Data engineering, SQL development, ETL processes, and data integration. • AI/ML technologies including Python, TensorFlow, PyTorch, and related frameworks. • Data visualization, dashboard development, and executive reporting. • Advanced Microsoft Excel skills, including data modelling, trend analysis, and reporting automation. • Familiarity with production data management systems and operational performance monitoring. • Proficiency with presentation and process visualization tools such as PowerPoint and Visio. • Experience in digital transformation, reporting automation, and data-driven decision support. Key Responsibilities • Design, develop, and maintain Business Intelligence dashboards supporting production planning, operational performance, and business reporting. • Streamline and automate reporting workflows using Power BI, Tableau, Qlik, or equivalent analytics platforms. • Create interactive visualizations and management reports to support decision-making at operational and leadership levels. • Integrate and consolidate data from multiple operational and business systems. • Ensure data quality, consistency, reliability, and governance across various data sources. • Develop, maintain, and optimize ETL processes, data pipelines, and analytical datasets. • Build and support AI/ML models for forecasting, anomaly detection, performance optimization, and decision support. • Contribute to predictive analytics initiatives focused on reliability, operational efficiency, and loss prevention. • Support integration of advanced analytics solutions with production, planning, and business systems. • Perform scenario modelling and "what-if" analysis to support operational and business optimization. • Automate manual reporting and planning activities using AI, RPA, and advanced digital technologies. • Maintain robust data governance, security, compliance, and auditability standards for analytical outputs. • Deliver training, user support, and knowledge-sharing sessions to business stakeholders. • Collaborate with Operations, Engineering, Digital, IT, and Business teams to identify and implement data-driven improvement opportunities. Additional Requirements • Candidates must demonstrate strong analytical capabilities, data management expertise, and the ability to work effectively across multidisciplinary teams. • Experience working with operational, industrial, or energy-sector data environments is highly desirable. • Ability to support both corporate and operational site activities when required. • Successful candidates will undergo technical and competency-based assessments as part of the selection process.