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Job Overview
The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family.
Responsibilities:
- Partners with business teams to develop process improvements, solutions, and streamline operational workflows
- Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information
- May occasionally provide informal guidance or on the job training to new or lower-level team members
- Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties
- Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists
- Report Data Quality issues through the Data Concern Remediation Management process
- Defines detailed business data requirements and documenting them
- 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 behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency
Qualifications:
- 2-5 years’ Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred
- Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint)
- Strong analytical skills and attention to detail
- Working knowledge of Collibra and other Data Governance industry standard tools
- Intermediate proficiency in System Query Language (SQL)
- Working knowledge of Tableau (report consumer, developer, etc.)
- Demonstrated understanding of Database structures
- Flexible, team-oriented and have good interpersonal skills
- Ability to work independently and as part of a team
- Excellent written and verbal communication skills
Education:
- Bachelor's/University degree or equivalent experience
The main responsibles are ensuring that data sourced and consumed across the organization meets established standards of quality, integrity, and consistency. This role contributes to the execution of the Data Governance framework, with a primary focus on Data Quality management, supporting the identification, analysis, and remediation of data issues that may impact business processes, regulatory reporting, and decision-making.
The analyst works cross-functionally with both business and technology teams, promoting the adoption of data quality controls and best practices across data flows.
Responsibilities:
- Identify, analyze, and document data quality issues, including root cause analysis and remediation recommendations.
- Define, implement, and monitor data quality rules, controls, and metrics.
- Collaborate with business and technology teams to ensure proper implementation of data quality controls within data pipelines.
- Support the reporting and monitoring of Data Quality KPIs and Data Governance maturity metrics.
- Contribute to continuous improvement initiatives to strengthen data quality processes and controls.
- Document processes, standards, and lessons learned related to Data Quality activities.
Qualifications:
- 3-5 years’ Experience with defining and implementing Data Quality programs; Banking preferred
- Familiarity with Data Warehouse and/or Data Lake environments.
- Strong analytical skills and attention to detail, identify patterns, anomalies, and data issues.
- Advanced proficiency in System Query Language (SQL) (Must)
- Working knowledge of Tableau (report consumer, developer, etc.) (Must)
- Ability to handle multiple data sources and prioritize effectively.
- Flexible, team-oriented and have good interpersonal skills
- Ability to work independently and as part of a team
- Strong communication skills to interact with both technical and business stakeholders.
Technical Skills (Preferred)
- Advanced SQL (required)
- Experience with databases such as Teradata, Oracle, or similar
- Basic knowledge of ETL / data pipeline tools (e.g., Glue, Informatica, etc.)
- Proficiency in Excel and PowerPoint for analysis and reporting
- Basic knowledge of MHUB and Query IT (Desirable)
- English intermediate (desirable)
Desirable
- Profile with basic knowledge of Artificial Intelligence and Cloud (desirable)
- Intermediate level Python: REST API calls, JSON reading and writing,
- CI/CD: GitHub Actions, GitLab CI, Jenkins Agents and AI: Agent architectures, LLM integration
- AWS: S3, Glue, ECS/EKS, IAM, QuickSight
Education:
- Bachelor's/University degree or equivalent experience
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Job Family Group:
Data Governance------------------------------------------------------
Job Family:
Data Quality & Data Quality Analytics and Reporting------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Data Governance, Data Management, Data Quality, Data Quality Management, Internal Controls, Needs Assessment, Risk Management Culture.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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