Citi Group Finance Reporting Lead Analyst - C13 

Costa Rica 

602229362

This position will be a lead analyst role within the team, responsible for the operationalization of data management standards for data produced and consumed by the Controllers GRR organization. The individual in this role will focus on one of the following areas:

• Data Operating Model initiatives, including data requirements, data quality issue remediation, data controls, data governance, and data adoption;
• Reporting initiatives, including data requirements, data quality issue remediation, and data controls;
• Data Operations, including data lineage, metadata management, and data certification;
• Data Strategy, including stakeholder management, reporting and metrics, action plan execution, and other strategic initiatives;

Responsibilities

• Support the implementation of data management initiatives across Citi to ensure the needs of GRR Controllers are met and that the data is fit for purpose.
• Participate in the design and implementation of strategic solutions to enhance the data delivery and provisioning platforms for Controllers
• Facilitate the transition of data consumption from existing models to the enhanced data management framework, including defining consumption points, trusted sources, and technology enablers
• Participate in the development of data quality rules and metrics, including dashboards, KPIs, and other measurements of success
• Facilitate or contribute to status meetings (recurring and ad-hoc) with required stakeholder communities (including senior management) by preparing materials and updates, summarizing issues and risks, defining agreed action items and next steps
• Create project artifacts including, but not limited to: business and functional requirements, user acceptance test plans, and operational readiness documents
• Other specific responsibilities as related to the supported function, including requirements gathering, issue root cause remediation, data lineage documentation, control design, process governance etc.

Minimum Qualifications

• Bachelor’s degree in Economics, Finance, Accounting, Data Management or related field is required.
• 5+ years working in the financial services industry, financial data management, or financial data remediation is required
• Outstanding analytical, strategic and problem-solving skills with ability to break challenges into component parts
• Strong written and verbal communications skills
• Strong interpersonal skills, with evidence of working in collaboration across large organizations, including a proactive and 'no surprises' approach in communicating issues/requests
• Ability to lead and drive change through creative thinking and pragmatism
• Ability to manage multiple activities simultaneously and plan / prioritize appropriately
• Ability to work with stakeholders to elicit and formally define their requirements
• Ability to understand the strategic direction and translate to the delivery of successful results in a complex and cross-functional organization
• Strong ability to extract information by questioning, active listening, and interviewing
• Proficiency in Microsoft Word, Excel, and PowerPoint
• Advanced English Skills Required

Preferred Qualifications

• MBA or other advanced degree is a plus.
• Broad experience of Finance or Operational/Technology function within Banking organization is preferred
• Experience supporting transformation projects and organizational change initiatives a plus
• Demonstrated experience working with financial products life cycles and associated data needs preferred
• Experience with controller functions, financial books & records, and/or regulatory reporting is a plus
• Experience in data governance programs with knowledge of data governance principles and practices is a plus
• Practical experience of data management, data remediation, front to back system data flows, data handling, transmission, aggregation and/or data modelling is a plus
• Program and project management skills that include both Waterfall and Agile e.g. Scrum is a plus

Time Type:

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