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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   24741735 Senior Data Analyst, O&T Quality Assurance - Innovation and Analytics (AVP/C12) (Open)
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24741735 Senior Data Analyst, O&T Quality Assurance - Innovation and Analytics (AVP/C12) (Open)

Citibank N.a.

The O&T Chief Operating Office (O&T COO) is a driving factor in delivering value to our organization, our businesses, regulators, and stakeholders.

The O&T Quality Assurance (QA) in O&T’s COO function and is responsible to provide strong oversight, facilitate reviews and support Citi’s effective management of operational and technology risks. This role is reporting to the O&T Quality Assurance Innovation and Analytics Lead based in Singapore, responsible for the production and delivery of O&T QA tooling & reporting requirements. The ideal candidate for this role is a highly motivated, individual contributor who also works well in a global team and a diverse environment.


Key Responsibilities:

  • Source, check, produce and update Quality Assurance Book of Work from imperfect and disparate data sources on a recurring basis.
  • Create various dashboards to provide management with a view on current Book of Work, quality review progress, resourcing availability, etc.
  • Maintain in-house workflow management tool to ensure up-to-date data availability and suggest improvements to tooling.
  • Provide analytical expertise to support the implementation of various O&T QA processes (e.g. thematic analysis, analytical testing).
  • Support O&T QA Management Team to implement escalation criteria and practices to ensure issues and risks are escalated timely and reporting to senior management occurs appropriately, consistently and at the right levels.
  • Establish strong working relationships with stakeholders and management to enable smooth coordination of reporting activities.
  • Be proactive and self-motivated in driving quality and timely reporting end-to-end.
  • Contribute to continued improvement in O&T QA procedures and coverage through the delivery of quality QA Book of Work and reporting products
  • Assist O&T QA Innovation & Analytics Lead on day-to-day basis with ad-hoc requests/projects, review of O&T QA internal and external deliverables.
  • This is a global role and involves interaction with stakeholders across APAC, EMEA and NAM. Work timings accordingly will remain flexible.
  • This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Qualifications:

  • 6-7 years of experience with hands-on responsibilities in reporting related processes. Financial services industry and/or risk and control experience is a plus, as is prior experience in quality assurance / control and monitoring processes.
  • Demonstrated success in providing timely, high-quality and insightful data analytics and reporting under tight deadlines and among multiple competing deliverables, with flexibility to prioritize workload accordingly.
  • Superior oral and written communication skills in English, and in particular ability to assess and contribute to the content of committee reporting and production of materials meant for ‘Board-level’ and senior management.
  • Intellectually curious, consistently evaluating “what is the data telling me?” and “why does it matter?"
  • Excellent data visualization skills to distill hard data points into easy to understand and insightful materials and communications for stakeholders to consume.
  • Advanced level of proficiency with MS Office suite (especially Excel and PowerPoint) is necessary.
  • Advanced level of proficiency with dashboard tools is necessary. Proven practical experience of implementations done in PowerBI and/or Tableau is advantageous.
  • Exposure to data analytics toolkits in Python or R is advantageous.
  • Knowledge and experience in front-end web development (Javascript libraries) is advantageous.
  • Knowledge and experience in SharePoint development (e.g. create & maintain Lists, interact with the REST API) is highly advantageous.

Education:

  • BS/BA degree or equivalent combination of education/experience (Computer Science, Information Systems, Data Analytics or Data Science preferred).

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