Data Quality Lead Analyst, Citi

Citi

Location:
United States, Irving ▼
Tampa

Category:
IT - Administration

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Data Analytics Lead Analyst plays a strategic role in contributing to data analytics standards, resolving complex issues, and delivering impactful results. The role involves developing data quality controls, conducting exploratory data analysis, managing end-to-end delivery lifecycles, and influencing stakeholders. Candidates will collaborate globally, lead cross-functional initiatives, and contribute to product and solution strategies.

Job Responsibility:

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 to guide, influence and convince others
resolves occasionally complex and highly variable issues
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
scopes data control code releases, agreeing to and tracking business priorities, incorporating regulatory and compliance requirements
creates and implements data quality controls by performing audits and validations across various data sources
conducts 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
serves as product ambassador within user community
works closely with technology, business managers, and other stakeholders to fulfill delivery objectives
identifies solutions across data analytics, reporting, CRM, trade workflows, and trade processing
delivers direct business results and advice on product development
partners with senior team members and leaders to define and implement solutions
creates clear project plans and business/technical requirements documents
interacts with business managers, technology, and sales to understand their vision, discuss industry trends, and incorporate them into the product and solutions strategy
performs controls and governance tasks, including security reviews, approvals, and controls testing.

Requirements:

6-10 years' experience
advanced SQL coding proficiency
deep business analysis skill set including a strong understanding of various forms 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 and workflows
banking/lending experience preferred but not required
intellectual curiosity, analytical and conceptual thinker
proactively seeks and develops new opportunities
attention to detail and process/analytic mindset
ability to build networks and relationships internally and externally
familiarity with product development methodologies
direct experience in end-to-end project delivery, preferably in product development, and knowledge of various analytical tools including QlikView, Tableau, Access
comfortable with performing data investigations that require a high degree of accuracy with tight timescales
ability to create business analysis, troubleshoot data quality issues, and conduct exploratory and descriptive analysis of business datasets
ability to structure and break down problems, develop solutions, and to drive to results
process management knowledge with a propensity for detail and comprehensiveness of content
ability to collaborate and clearly communicate with team members of an organization
project management skills with experience leading large cross-functional initiatives
generation of reports and presentations for management.

Nice to have:

Intermediate/advanced Python experience
banking/lending experience.

What we offer:

Medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off (vacation)
unplanned time off (sick leave)
paid holidays.

Additional Information:

Job Posted:
September 18, 2025

Expiration:
September 23, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Quality Lead Analyst