Data Science Intmd Analyst - C11 - Ciudad De Mexico

.The Data Science Intermediate Analyst is a developing professional role.
Deals with most problems independently and has some latitude to solve complex problems.
Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices.
Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family.
Applies analytical thinking and knowledge of data analysis tools and methodologies.
Requires attention to detail when making judgments and recommendations based on the analysis of factual information.
Typically deals with variable issues with potentially broader business impact.
Applies professional judgment when interpreting data and results.
Breaks down information in a systematic and communicable manner.
Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
Moderate but direct impact through close contact with the businesses' core activities.
Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
**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- Delivers 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 determine system functional specifications