Planning Data & Business Intelligence Analyst

Role Overview

We are searching for a detail-oriented Planning Data & Business Intelligence Analyst to enhance production planning, hydrocarbon accounting, operational monitoring, and drive digital transformation in a complex industrial setting. This role requires expertise in advanced analytics, business intelligence, data engineering, and AI to improve decision-making processes, streamline reporting, and promote operational success.

Qualifications and Expertise

• Bachelor's degree in Engineering, Data Science, Computer Science, Information Systems, or similar fields.
• At least 10 years of relevant professional experience.
• A minimum of 5 years experience within Oil & Gas, Energy, Industrial Operations, Manufacturing, or Data Analytics industries.
• Basic knowledge of production planning, performance management, and hydrocarbon accounting is beneficial.
• Experience with digital technologies, industrial data environments, and business intelligence tools.
• Strong analytical thinking, problem-solving skills, and critical reasoning.
• Effective communication skills, both verbal and in presentations.
• Genuine interest in and readiness to utilize Artificial Intelligence, Machine Learning, and advanced analytics.

Technical Skills and Competencies

• Expertise in Business Intelligence and analytics platforms like Power BI, Tableau, Qlik, or analogous tools.
• Proficiency in data engineering, SQL, ETL development, and data integration methods.
• Hands-on knowledge of AI/ML technologies including Python, TensorFlow, PyTorch, and related frameworks.
• Strong ability in data visualization, dashboard creation, and executive reporting.
• Advanced skills in Microsoft Excel encompassing data modeling, trend analysis, and automation of reports.
• Understanding of production data management systems and operational performance tracking.
• Familiarity with presentation and process illustration tools such as PowerPoint and Visio.
• Experience in digital transformation, report automation, and data-empowered decision support.

Core Responsibilities

• Conceptualize, develop, and sustain Business Intelligence dashboards to aid production planning and operational reporting.
• Optimize and automate reporting workflows using platforms like Power BI, Tableau, or Qlik.
• Design engaging visualizations and management reports aiding decisions at various organizational tiers.
• Aggregate and harmonize data from diverse operational and business systems to ensure unified access.
• Maintain data integrity, reliability, consistency, and adhere to governance standards across datasets.
• Create, sustain, and refine ETL processes, data pipelines, and analytical data stores.
• Develop and support AI/ML models for forecasting, anomaly detection, performance improvement, and decision assistance.
• Participate in predictive analytics projects aimed at enhancing reliability and mitigating losses.
• Support integration of advanced analytics with production, planning, and business systems.
• Conduct scenario analyses and "what-if" assessments to guide operational and business improvements.
• Automate routine reporting and planning tasks employing AI, Robotic Process Automation (RPA), and other advanced digital tools.
• Ensure robust data governance, security, compliance, and audit readiness of analytical outputs.
• Provide training and user support to enable stakeholders in adopting analytic tools effectively.
• Collaborate across multidisciplinary teams (Operations, Engineering, Digital, IT, Business) to identify and implement data-driven enhancements.

Additional Information

• Applicants must demonstrate significant analytical abilities, strong data management skills, and aptitude for teamwork in cross-functional groups.
• Prior experience in operational, industrial, or energy sector data environments is highly preferred.
• The role may require support for both corporate and operational site functions.
• Selection entails both technical and competency-based evaluations.