Senior Specialist Business Data ytics
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Job Description
- 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 business use cases that support the profitability, performance and efficiency of ADNOC Group through the use of analytical tools
- Design visual representation of business information to facilitate decision-making.
- Integrate different data disciplines into a holistic representation where inter-relationships are accounted for and highlighted.
- 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. Lead the development of insights from the growing influx of data and integrate economics in fit-for-purpose, workflow-based analytics.
- 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.
Employment Type
Full-time
Company Industry
Oil /
