Senior Business Data Analyst

6 days ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Oil And Gas Job Search Ltd Full time
Job Description

**Job Title:** Senior Specialist Business Data Analytics

**Job Summary:** We are seeking a highly skilled Senior Specialist Business Data Analytics to join our team at Oil And Gas Job Search Ltd. The successful candidate will be responsible for utilizing analytical tools in business analysis methodologies to drive business growth and improvement.

Key Responsibilities:

  • **Business Analysis:** Utilize analytical tools in business analysis methodologies, including agile business analysis, six sigma, business process modeling notation, and rational unified process. Develop business use cases that support the profitability, performance, and efficiency of ADNOC Group.
  • **Data Visualization:** Design visual representations of business information to facilitate decision-making. Integrate different data disciplines into a holistic representation where inter-relationships are accounted for and highlighted.
  • **Data Modeling:** Build data models that can be used by other stakeholders for multiple segmentation, splicing, etc. Lead the conceptualization and development of the data platforms/infrastructure for data extraction, preparation, and loading of data from a variety of sources over big data technologies.
  • **Analytics and Insights:** Lead the development of insights from the growing influx of data and integrate economics in fit-for-purpose, workflow-based analytics. Develop decision recommendations from statistical analysis, data management, modeling using tools like Python/SQL, data visualization, machine learning.
  • **Business Transformation:** Leverage the scope of analytics, data science, and cognitive technologies to uncover data relationships and generate insights. Make informed decision-making and help transform the business by designing organizational intelligence programs and differentiated strategies to achieve enhanced and optimized business value.
  • **Advisory Services:** Enable analytics-driven advisory on high return investments through building a vibrant digital ecosystem and improving the technical and business understanding. Enable analytics-driven demand forecasting to enhance capacity planning, optimize costs, and integrate end-to-end value chain.
  • **Data Management:** Provide an effective tool for business functions to extract trends and facilitate transparent illustrations to streamline decision-making processes in rapidly changing work environments. Reduce costs, make explicit objective foresights, and improve ADNOC operations.
  • **Automation and Science:** Leverage automation, cognitive, and science-based techniques to manage data, predict outcomes, and explore scenarios. Prescribe actions and drive operational efficiency by maintaining the data ecosystems, analytics expertise, and providing continuous insights for business improvement.
  • **Large-Scale Data Ecosystems:** Implement large-scale data ecosystems, including data management, governance, and the integration of structured and unstructured data to generate insights leveraging AI-based platforms.
  • **Integrated Platform:** Manage the development of an integrated platform that captures and demonstrates the most relevant and critical data sources to support the marketing and production teams to optimize the company's revenue.
  • **Process Improvement:** Lead the identification of opportunities for improvement in business processes to ensure rationalization of stocks to reduce costs and improve sales with the market.
  • **Data Receipt and Review:** Lead the review of the data receipt and the major deviations highlighted, pertaining to the operating parameters, and recommend suitable actions to be taken for their mitigation.
  • **Preventive and Prescriptive Optimization:** Enable preventive and prescriptive optimization through analytics.
  • **Timely/Quality Data:** Lead the provision of timely/quality data to support the 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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