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Data Analyst Modelos y Datos Riesgo (Replacement)
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
PA239-Parada / Museo Militar, Santiago, Región Metropolitana, Chile
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Description

Enable business strategy and various value streams through the use of advanced data to support risk management and decision-making across the Bank's different businesses, always with a customer-centric vision and innovative solutions, with the objective of: 1\) Develop enriched data assets to enable risk strategy and value streams; 2\) Analyze data to identify opportunities in risk business processes and improve decision-making; 3\) Lead and design data strategy and guidelines regarding architecture, standards, and data governance; 4\) Design data-driven business processes under defined methodologies; 5\) Support and guide the business in the use and exploitation of risk data; To achieve this, knowledge of the Bank's risk business processes and available data sources for different portfolios is required. Thorough understanding of various technological tools necessary to perform the role is also essential. Additionally, the responsibility includes proposing continuous improvements, always seeking innovation with a customer focus, within internal data modeling processes, and recommending new techniques or technologies best suited to address the problems at hand. **In this role you will have the opportunity to:** Design data-driven business processes using enriched data to enable risk strategy and value streamsAnalyze and identify opportunities in risk business processes where data can enhance decision-makingPropose strategies and guidelines on risk data standards, architecture, and governanceDesign data-driven business processes under defined methodologies and comply with data model development standardsSupport and guide the business in analyzing and exploiting data related to risk managementParticipate in all training and development programs to which you are invited. Be proactive in self-training by researching new technologies, local and international regulations, best practices, etc. **To succeed in this position, you need:** Civil Computer Engineer / Civil Industrial EngineerBig Data technologies focused on dataDatabases.Data programmingSQL, Databricks, and Data Modeling experienceExperience in data analysis and visualization (e.g., excel, power bi, tableau, etc.)Intermediate/advanced English

Source:  indeed View original post
Sofía Muñoz
Indeed · HR

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