Senior Business Data Analyst

2 weeks ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Oil And Gas Job Search Ltd Full time
Job Title: Senior Specialist Business Data ytics

We are seeking a highly skilled Senior Specialist Business Data ytics to join our team at Oil And Gas Job Search Ltd. As a key member of our organization, you will play a critical role in driving business growth and improvement through data-driven insights.

Key Responsibilities:
  • Business Analysis: Utilize analytical tools and methodologies to analyze business data and identify trends, patterns, and insights that inform business decisions.
  • Data Visualization: Design and develop visual representations of business data to facilitate decision-making and communicate complex information to stakeholders.
  • Data Integration: Integrate data from various sources to create a holistic view of the business, highlighting inter-relationships and key insights.
  • Data Modeling: Develop data models that support business use cases and enable stakeholders to make informed decisions.
  • Insight Generation: Lead the development of insights from large datasets, integrating economics and analytics to inform business decisions.
  • Decision Support: Develop decision recommendations based on statistical analysis, data management, and modeling using tools like Python/SQL, data visualization, and machine learning.
  • Business Transformation: Leverage analytics, data science, and cognitive technologies to uncover data relationships, generate insights, and drive business transformation.
  • Advisory Services: Provide analytics-driven advisory on high-return investments, building a vibrant digital ecosystem and improving technical and business understanding.
  • Capacity Planning: Enable analytics-driven demand forecasting to enhance capacity planning, optimize costs, and integrate end-to-end value chain.
  • Operational Efficiency: Leverage automation, cognitive, and science-based techniques to manage data, predict outcomes, and explore scenarios, prescribing actions to drive operational efficiency.
  • Data Ecosystems: Implement large-scale data ecosystems, including data management, governance, and integration of structured and unstructured data to generate insights using AI-based platforms.
  • Platform Development: Manage the development of an integrated platform that captures and demonstrates the most relevant and critical data sources, supporting marketing and production teams to optimize revenue.
  • Process Improvement: Lead the identification of opportunities for improvement in business processes, ensuring rationalization of stocks to reduce costs and improve sales with the market.
  • Deviation Review: Lead the review of data receipt and major deviations highlighted, recommending suitable actions to mitigate them.
  • Preventive Optimization: Enable preventive and prescriptive optimization through analytics.
  • Timely Data Provision: Lead the provision of timely and quality data to support Integrated Production Planning and Data Analytics functions in building production models, developing scenarios, investment studies, problem modeling, and identifying opportunities for improvement.


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