Citi

Vice President, Data Quality

Citi

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida

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Salary

💰 $125,760 - $188,640 per year

Job Level

Senior

Tech Stack

PythonSDLCSQLTableau

About the role

  • Integrates subject matter and industry expertise within a defined area and contributes to data analytics standards
  • Develops data controls including data profiling, data analysis, logic tuning, and advanced SQL coding
  • Manages end-to-end data quality control development lifecycle and scopes data control code releases
  • Create and implement data quality controls by performing audits and validations across various data sources
  • Conduct exploratory data analysis to uncover trends, patterns and anomalies in large complex data sets
  • Prioritizes, coordinates design and delivery of products/features to product release and serves as product ambassador
  • Works closely with Technology, Business Managers and stakeholders to fulfill delivery objectives
  • Identifies solutions across data analytics, reporting, CRM, Trade Workflows and trade processing
  • Partners with senior team members and a global user community to define and implement solutions
  • Creates project plans, business and technical requirements documents for product execution
  • Interacts with business managers, technology, and sales to align product & solutions strategy
  • Focuses on controls and governance, performing Need-to-Know security/access reviews, Access Approvals, controls testing and documentation
  • Assesses risk and drives compliance with laws, rules and regulations, adhering to policy and escalating control issues

Requirements

  • 6-10 years' experience
  • Advanced SQL coding proficiency
  • Deep Business Analysis skill set including Descriptive, Diagnostic, Exploratory, Inferential, and Causal Analysis
  • Efficient coding methodologies (CTEs, window analytic functions)
  • Strong proficiency in data profiling and entity relationship discovery within an Enterprise Data Warehouse
  • High competency in SQL to interrogate data systems
  • A good general understanding of SDLC and Agile methodologies
  • Intermediate/advanced Python experience preferred
  • Experience with data management lifecycles and workflows
  • Banking/Lending experience preferred but not required
  • Intellectual curiosity, analytical and conceptual thinking
  • Attention to detail and process/analytic mindset
  • Ability to build internal and external networks and relationships
  • Familiarity with product development methodologies
  • Direct experience in end-to-end project delivery and product development
  • Knowledge of analytical tools including QlikView, Tableau, Access
  • Ability to perform accurate data investigations under tight timescales
  • Ability to create business analysis, troubleshoot data quality issues, and conduct exploratory and descriptive analysis
  • Process Management knowledge
  • Project Management skills with experience leading large cross functional initiatives
  • Bachelor’s/University degree or equivalent experience (potentially Master’s degree)
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