Data Engineer coordinating Divisional Analytics Teams to execute a comprehensive data strategy. Fostering collaboration and serving as a contact point for business stakeholdes while ensuring data assets delivery.
Responsibilities
Acting as a concierge to the Divisional Analytics Teams (Dats)
Using deep knowledge and understanding of business needs to define & execute a data strategy
Coordinating the development & delivery of data assets
Serving as a single point of contact for issues / escalations to business stakeholders
Requirements
Bachelor degree and 8 years of data and analytics experience OR 12 years of data and analytics experience
Experience in data processing environments
Experience with Teradata & Hadoop
Experience connecting business requirements to data mining objectives and measuring business benefit
Knowledge of statistical modeling/predictive modeling/machine learning/data mining/optimization and big data concepts
Analytical and quantitative problem-solving skills
Experience with Data Warehouse development and data consumption
Experience with Business Intelligence tools
Knowledge of Application development platforms / languages
Knowledge of DevOps / continuous deployment / integration process
Ability to understand market needs and to translate business vision into data asset development
Ability to execute strategic vision with tactical efficiency
Experience interacting with corporate leadership
Ability to manage demands from multiple stakeholders while optimizing resources
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