Data Quality Lead Analyst Vice President

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Integrates subject matter and industry expertise within a defined area.

• Contributes to data analytics standards around which others will operate.

• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.

• Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.

• Resolves occasionally complex and highly variable issue

• Development of data controls including data profiling, data analysis, logic tuning, and advanced SQL coding.

• Manages the end-to-end data quality control development lifecycle and will also scope data control code releases, agreeing to and tracking business priorities, incorporating regulatory and compliance requirements.

• Create and Implement data quality controls by performing audits and validations across various data sources. Conduct exploratory data analysis to uncover data trends, patterns and anomalies in large complex data sets.

• Develops plans, prioritizes, coordinates design and delivery of products or features to product release, and serves as product ambassador within user community

• Works in close co-ordination with Technology, Business Managers and other stakeholders to fulfill the delivery objectives

• Identifies solutions ranging across data analytics, reporting, CRM, Trade Workflows and trade processing

• Has responsibility to deliver direct business results and advice regarding product development that necessitates a degree of responsibility over technical strategy

• Partners with senior team members and leaders and a widely distributed global user community to define and implement solutions

• Creates clear and specific project plans, business and technical requirements documents for product execution

• Interacts with business managers, technology, and sales to understand their long-term vision, discuss industry trends, and incorporate them into the product & solutions strategy

• Focuses on controls and governance, including performing Need-to-Know based security and access reviews, Access Approvals, controls testing and documentation

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10 years' experience

• Advanced SQL coding proficiency

• Deep Business Analysis skill set including a strong understanding of various form of analysis such as: Descriptive Analysis, Diagnostic Analysis, Exploratory Analysis, Inferential Analysis, Causal Analysis

• Efficient coding methodologies such as use of Common Table Expressions and window analytic functions to create elegant and efficient analytical packages in SQL

• Very strong proficiency in data profiling and entity relationship discovery within a standard Enterprise Data Warehouse and extensive experience in use of business data marts

• High competency in actual coding in SQL to interrogate the data system and obtain outputs necessary to answer business questions

• A good general understanding of the development cycle of a software product (SDLC, Agile methodologies, etc.)

• Intermediate/advanced Python experience preferred

• Experience with data management lifecycles