The Data Science Lead Analyst is needed to conduct strategic data analysis, identify insights and implications, and make strategic recommendations to drive optimization and improve data quality across various banking platforms. The role aims to address business problems by delivering analytics initiatives, consulting with business clients to define system functional specifications, and leading system change processes.
Requirements
- 6-10 years experience using tools for statistical modeling of large data sets
- Process Improvement or Project Management experience
Responsibilities
- Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
- Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
- 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.
- Consults with users and clients 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.
Other
- 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.
- 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.
