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The Data Science Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Job Responsibility:
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications and to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Conduct workflow analysis, business process modeling
develop use cases, test plans, and business rules
assist in user acceptance testing
Develop in-depth knowledge and proficiency of supported business areas and engage business partners in evaluating opportunities for process integration and refinement
Direct the communication of status, issue, and risk disposition to all stakeholders, including Senior Management
Direct the identification of risks which impact project delivery and ensure mitigation strategies are developed and executed when necessary
Develop strategies to reduce costs, manage risk, and enhance services
Requirements:
MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
Substantial experience using tools for statistical modeling of large data sets
Process Improvement or Project Management experience
Bachelor’s/University degree or equivalent experience, potentially Masters degree
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