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Finance & Investment

Senior Specialist, Business Data Analytics


Execute ADNOC Digital Business analytics functions for the formulation of short/long terms strategies to optimize the operations of ADNOC Group in relation to marketing, trading and finance. The role also includes the day-to-day operations of the Panorama Digital Command Center ensuring analysis and reporting of different corporate parameters of Upstream and Downstream OPCOs like; supply, planning, inventories, marketing and finance using the integrated data platform.

Execute the Business analytics function ensuring sufficient integration of the economic aspects and operational objectives with specific reference to business data especially from financial, human capital, marketing, economics, etc. and generate insights needed to enhance and optimize business growth, value creation and provide ADNOC Group leadership with necessary decision recommendations.



  • 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. Lead the development of insights from the growing influx of data and integrate economics in fit-for-purpose, workflow-based analytics.
  • Utilize analytical tools in business analysis methodologies in any of the following: agile business analysis, six sigma, business process modelling notation or rational unified process. SQL
  • Develop decision recommendation from statistical analysis, data management, modeling using tools like Python/SQL, data visualization, machine learning.
  • Leverage the scope of analytics, data science and cognitive technologies to uncover data relationships and generate insights, to make informed decision-making and help transform the business by designing organizational intelligence programs and differentiated strategies to achieve enhanced and optimized business value.
  • Enable analytics-driven advisory on high return investments through building a vibrant digital ecosystem and improving the technical and business understanding, enabling analytics-driven demand forecasting to enhance capacity planning, optimize costs and integrate end-to-end value chain.
  • Provide an effective tool for business functions to extract trends and facilitate transparent illustrations to streamline decision-making processes in rapidly changing work environment including reducing costs, making explicit objective foresights and improving ADNOC operations.
  • Leverage automation, cognitive and science-based techniques to manage data, predict outcomes and explore scenarios and prescribe actions and drive operational efficiency by maintaining the data ecosystems, analytics expertise and providing continuous insights for business improvement. 
  • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging AI based platforms.
  • 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.
  • Lead the identification of opportunities for improvement in business processes to ensure rationalization of stocks to reduce the costs and to improve sales with the market.
  • 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.
  • Enable preventive and prescriptive optimization through analytics
  • 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 modelling and identifying opportunities for improvement.


Minimum Qualification

Bachelor’s degree in Analytics, Statistics, Computer Science or equivalent.

Minimum Experience & Knowledge & Skills

Minimum 8 years of experience

Oct 23, 2019

Job Segment: Analytics, Supply, Supply Chain, Supply Planner, Six Sigma, Management, Operations

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