Data Quality Lead Analyst
Citigroup · Belfast
The Data Quality Lead Analyst contributes to efforts to ensure data that is sourced and provisioned meet all required data quality standards. The Data Quality Lead Analyst leads the continuous Data Quality by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation, adoption and communication of Data Quality and Data Quality risk. They collaborate with others to monitor and remediate data concerns.
Responsibilities:
- Supports activities to drive Data Quality measurement, produces Data Quality dashboards and reports, and implements Data Quality strategies to effectively govern data and improve Data Quality
- Leads data improvement initiatives, processes, and creation of tools in line with requirements
- Liaises with other areas of the firm to understand data challenges and solutions, and/or runs data consumption demand and requirements
- Reviews quality analysis results and dispositions data challenges through Citi’s corresponding Data/Issue management process
- Leads day to day activities to support data quality resolution, and to optimize metrics reporting process
- Reports Data Quality issues through Citi’s corresponding Data/Issue management process
- Supports senior management strategic vision
Recommended Qualifications:
- 6-10 years experience with defining and implementing Data Quality programs; Banking or Finance industry preferred
- Experience with defining and implementing data quality programs
- Strong Data Analytics experience with solid Microsoft Office knowledge, in particular Excel
- Tableau experience is a plus
- Comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives
- Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
- Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Strong in building partnerships and working well with others to meet shared objectives
Education:
- Bachelor's/University degree, Master's degree preferred
What we can offer:
At Citi, you will work at the intersection of data, finance, and commercial strategy, contributing to decisions that have real impact across a global organization. This role offers meaningful autonomy, cross-functional collaboration, and the opportunity to grow your analytical and governance expertise within a high-performing team.
- A hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside team connection.
- Exposure to complex, high-value commercial and financial decisions that directly shape vendor strategy at a global scale.
- Access to learning and development resources that support your growth in data analytics, financial governance, and emerging technologies.
- The opportunity to work across finance, sourcing, and technology functions, broadening your professional network and cross-functional expertise.
- Wellbeing support and work-life balance initiatives designed to help you perform at your best.
- Competitive financial benefits and a rewards package aligned to your experience and contribution.
If you are a highly motivated, results-oriented individual with a passion for data quality projects, we encourage you to apply!
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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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