Detalhes do emprego
KEY ACCOUNTABILITIESPrimary Accountabilities:End-to-end ownership of data analytics and data science workstreams.Work closely with the Business, Product and Technology teams to develop world-class systems and processes.Analyse trade data from various sources, connect the dots between seemingly disjoint datasets, identify patterns in data and derive meaningful conclusions.Build, maintain and improve complex data analysis models that help our senior management track their business and take strategic decisions.Leverage business context and objectives to develop, implement, fetch, and measure data plans.Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.Simplify and automate day-to-day work streams.Proactively identify improvement opportunities and understand how our users interact with our products through systematic and rigorous measurement and analysis.Develop a deep understanding of specific areas of the business and the key metrics to measure the performance of the product.Other Accountabilities:Participate and contribute to data discussions with the goal to enrich data and business understanding.Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World's Founder's Principles, values, and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World's Code of Conduct and Ethics policies.Perform other related duties as assigned.QUALIFICATIONS, EXPERIENCE AND SKILLS2-5 years of experience in building and implementing data analytics models.Strong knowledge of either R or Python (both is a plus).Strong knowledge of Excel, SQL.Experience in data mining and data analytics.Experience in extracting, transforming the data, and making a presentable analysis for a given problem.Willingness to learn and adopt best practices in statistics, BI, predictive modelling, and ML.
#J-18808-Ljbffr Management & Operations
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