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We are seeking a highly analytical and detail-oriented Data Analytics Lead Analyst with 5-7 years of experience to join our growing data analytics and data modelling team. In this role, you will leverage your experience in data exploration, governance and visualization to drive a robust data model and data sourcing strategy to drive business insights and support strategic decision-making across the organization.
Job Responsibility:
Define a sourcing strategy, collect and analyze large datasets from an identified data source to host and deliver data to business teams
Design and implement dashboards and reports using tools such as Tableau
Partner with business stakeholders, and occasionally senior management, to define metrics, monitor performance, and identify opportunities for growth or optimization
Develop and maintain SQL queries, ETL pipelines, and data models to support reporting needs
Communicate data findings clearly and effectively to both technical and non-technical audiences
Collaborate cross-functionally with business analysts, technology engineering and product teams to support data-driven initiatives
Identify data-quality issues and contribute to data governance and standardization efforts
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Build content related to the data projects he/she is working on and work with the SharePoint administrator to deliver the content on the SharePoint
Requirements:
5-7 years of relevant experience in a data sourcing, reporting and / or governance role
Solid experience in the banking sector and understanding of Citi’s businesses from an AML perspective
Good command of SQL and Python and data models
Good command of Excel and PowerPoint
Ability to present technical data and concepts to a non-technical audience
Developed communication and diplomacy skills are required to guide, influence and convince others, in particular colleagues in other areas and occasional external customers