BANAMEX
Banking
BANAMEXDataOwnerSrAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“BANAMEX Data Owner Sr Analyst at BANAMEX. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and deploy machine learning models”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years experience, SQL proficiency
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified
What You'll Do.
Develop and maintain data pipelines
Build and deploy machine learning models
Create and manage BI dashboards
Perform data analysis
Ensure data quality and integrity
Collaborate with stakeholders
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders
Full Job Description
The Data Owner Sr Analyst is responsible for executing the data strategy at the business/function level by ensuring that data is compliant with Regulations, Laws, and Citi Policies, Standards & Procedures to reduce and manage Citi’s data risk. They will assist in implementing the Data Strategy, architecture Target State, and executing the data delivery roadmap for Authoritative Data Sources. They are responsible for promoting data as an asset and influencing culture change to make the organization increasingly more data driven. **_Responsibilities_** * Engage in critical aspects of data governance policy and data strategy to manage data. * Assist in building a deep, comprehensive, and documented understanding of the business’ key data, data processes, and data flows. * Assist data consumers to agree on the scope of critical data quality challenges and ensure that the data operating model is implemented to reduce data risk. * Assist in remediating Data Concerns, including dispositioning and monitoring fixes (Data defects, Data issues). Review, remediate, report, and monitor Data Quality issues through Citi’s corresponding Data/Issue management process. * Provide support to Data Stewards to drive end-to-end management and consistent usage to maximize the trustworthiness of business/function data. Identify data quality “hot spots” or points of exposure. * Support alignment of key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows. * Support the development of informed target state plans and execution roadmaps. * Escalate potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns. * Participate in meetings and working sessions to solve issues, challenges, and risks by factoring input from partners and diverse points of view. * Appropriately assess risk when business decisi
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