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Data Quality Lead Analyst - VP - IRVING

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

The Data Quality Lead Analyst contributes to development of applications to ensure data that is sourced and provisioned meet all required data quality standards. The Analyst leads the continuous Data Quality efforts by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation, adoption and communication of Data Quality and Data Quality risk. The analyst will collaborate with others to monitor and remediate data concerns. 

Responsibilities:

  • Supports activities to drive Data Quality measurement, produce Data Quality dashboards and reports, and implement Data Quality strategies to effectively govern data and improve Data Quality

  • Lead data improvement initiatives, processes, and creation of tools in line with requirements

  • Liaise with other areas of the firm to understand data challenges and solutions, and/or run data consumption demand and requirements 

  • Develop quality front-end and back-end applications in an agile environment and create prototypes and POCs (Proof of Concept) to validate, promote, and define the technology strategies.

  • Write code in technologies such as python, Java, , Angular, SQL, JSON, REST API, Docker etc..

  • Collaborate with cross-functional teams to design and implement new features.

  • Ensure code quality through best practices, including unit testing and code reviews.

  • Review quality analysis results and disposition data challenges through Citi’s corresponding Data/Issue management process

  • Lead day to day activities to support data quality resolution, and to optimize metrics reporting process 

  • Report Data Quality issues through Citi’s corresponding Data/Issue management process

  • Support senior management strategic vision 

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

Qualifications:

  • 8+ years of experience as a Full Stack Software Engineer or in a similar role, strong programming skills in Java, Angular, python.

  • Strong proficiency in API development (REST, GraphQL).

  • Experience with unit testing frameworks for front-end and back-end applications.

  • Experience in designing and working with distributed systems and event-driven architecture.

  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab Pipelines, Jenkins, Bitbucket Pipelines).

  • Expertise in Spring Boot.

  • Familiarity with security concepts authentication, authorization, and SSL.

  • Expertise in data modeling and storage using SQL and/or NoSQL databases (Oracle, MySQL, MongoDB, or similar)

  • Familiarity with data science algorithms and integrating machine learning models.

  • Understanding of relational databases (Oracle), data modeling. and query optimization.

  • Experience writing efficient, complex database queries.

  • Exposure to DevOps practices and tools (CI/CD pipelines, Infrastructure as Code, monitoring).

  • Familiarity with front-end development using modern frameworks (e.g., React, Angular, Vue.js).

  • Excellent testing, debugging, and documentation skills.

  • Strong analytical and communication skills.

  • Experience with performance monitoring tools.

Education:

  • Bachelor's/University degree, Master's degree preferred


This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Applicants must be authorized to work in the U.S. (Citi will not sponsor applicants for U.S. work authorization for this position).

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Job Family Group:

Data Governance

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Job Family:

Data Quality & Data Quality Analytics and Reporting

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Apr 13, 2025

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

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Average salary estimate

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$125760K
$188640K

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What You Should Know About Data Quality Lead Analyst - VP - IRVING, Citi

Citi is currently seeking a dynamic Data Quality Lead Analyst to join our innovative team in Irving, Texas. As a global bank with a mission to provide reliable financial services that foster growth and trust, we're looking for a visionary leader who can drive our data quality initiatives. In this role, you'll be at the forefront of developing applications that ensure our vast data assets meet the highest quality standards. Your responsibilities will encompass assessing and analyzing data, setting controls for data quality measurement, and collaborating with cross-functional teams to tackle data-related challenges. You'll have the opportunity to lead data improvement initiatives, participate in application development using modern technologies like Python, Java, and SQL, and create effective data quality dashboards. Your technical prowess in front and back-end applications, coupled with strong analytical skills, will play a significant role in optimizing our reporting processes and managing data quality issues. Plus, you'll be responsible for implementing best practices, including unit testing and code reviews, to ensure excellence in our technology solutions. If you're driven by challenges and passionate about improving data practices in a robust environment like Citi, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Quality Lead Analyst - VP - IRVING Role at Citi
What responsibilities does the Data Quality Lead Analyst at Citi have?

The Data Quality Lead Analyst at Citi is responsible for driving data quality measurement and improvement initiatives, developing data quality dashboards and reports, and collaborating with various teams to enhance data practices. This role involves leveraging technical skills to design applications that meet strict data quality standards and addressing data challenges effectively in a dynamic environment.

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What qualifications are required for the Data Quality Lead Analyst position at Citi?

To be considered for the Data Quality Lead Analyst role at Citi, candidates should have at least 8 years of experience in software engineering or a similar role, showcasing strong programming skills in technologies like Java, Angular, and Python. A deep understanding of API development, data modeling, and familiarity with CI/CD pipelines and testing frameworks is essential for success in this position.

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What programming languages and tools does a Data Quality Lead Analyst at Citi need to be proficient in?

The Data Quality Lead Analyst at Citi should have proficiency in programming languages including Java, Python, and Angular, along with expertise in API development and database management using both SQL and NoSQL databases. Familiarity with tools for continuous integration and deployment, as well as front-end frameworks, will also be crucial for driving successful initiatives.

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What does a typical workday look like for a Data Quality Lead Analyst at Citi?

A typical day for a Data Quality Lead Analyst at Citi may involve collaborating with cross-functional teams to assess data challenges, leading initiatives to improve data quality, and developing applications that meet the firm’s data governance standards. The analyst will engage in coding, testing, and analyzing data quality metrics, all while ensuring adherence to Citi’s compliance and ethical guidelines.

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What is the work environment like for a Data Quality Lead Analyst at Citi?

The work environment for a Data Quality Lead Analyst at Citi is collaborative and fast-paced, encouraging innovative thinking and teamwork. Analysts work closely with different departments, engage in agile development practices, and have the opportunity to develop impactful solutions in a supportive setting that values continuous improvement and strong ethical standards.

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Common Interview Questions for Data Quality Lead Analyst - VP - IRVING
Can you explain your experience with data quality measurement and improvement initiatives?

It's essential to discuss specific projects where you led data quality measurement efforts. Detail the processes you implemented, any challenges faced, and how you overcame them. This allows you to showcase your analytical skills and commitment to data integrity.

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What programming languages and frameworks are you most comfortable with?

Tailor your answer to emphasize Java, Python, and Angular, as these are crucial for the role. Provide examples of projects where you successfully utilized these languages and any relevant technologies that complement them, such as REST APIs or CI/CD pipelines.

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How do you prioritize data quality issues when working on multiple projects?

Describe your method for assessing the severity and impact of data quality issues. Mention the use of prioritization matrices or risk assessments to compartmentalize tasks and ensure that high-impact issues are addressed promptly while managing timelines effectively.

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What experience do you have with compliance and ethical standards in relation to data management?

Highlight any experiences you have in adhering to compliance regulations and ethical standards, particularly within a financial context. Discuss how you ensure data practices meet all regulatory requirements and contribute to the organization's ethical framework.

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How do you handle data challenges that arise during product development?

Explain your approach to identifying data challenges early on and how you implement quick resolutions. Emphasize collaboration with cross-functional teams and utilizing agile practices to ensure that data quality remains a key focus throughout the product development lifecycle.

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Can you describe a successful data-driven project you’ve led?

Share a detailed example of a project where data-driven decisions resulted in positive outcomes. Discuss the methodology, tools used, challenges encountered, and significant metrics that demonstrate the success of the project.

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How do you stay updated with the latest trends in data analytics and quality management?

Mention specific resources, such as industry publications, webinars, and networking events that you attend. Highlight your proactive approach to learning and adapting to new data technologies and methodologies to enhance your skills continuously.

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What tools do you use for unit testing and ensuring code quality?

Discuss specific testing frameworks or tools you are familiar with, such as JUnit for Java or Jest for Angular. Emphasize the importance of automated testing and regular code reviews in maintaining high-quality standards.

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How would you describe your experience with CI/CD practices?

Outline your familiarity with CI/CD tools, such as GitHub Actions or Jenkins, and explain how you have implemented CI/CD pipelines in your previous roles to streamline development processes and enhance deployment efficiency.

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What strategies do you employ to communicate data quality findings to stakeholders?

Describe how you tailor your communication based on your audience, using visualizations and reports to make data quality findings accessible and actionable for different stakeholders. Highlight any tools or software that assist you in effectively conveying your message.

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Citi’s mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capi...

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