ICG KYC Operations Sr Data Analyst - C12 (Hybrid)

The KYC Operations Sr Data Analyst is an intermediate level position responsible for Anti-Money Laundering (AML) monitoring, governance, oversight and regulatory reporting activities in coordination with the Compliance and Control team. This role is part of the Business Support Unit (BSU) function, whose primary goal is to ensure completion on-time of KYC (Know Your Customer) records. Among other activities this also includes the development and implementation of standardized self-service reporting solutions, as well as providing and distributing ad-hoc metrics across the BSU community. The role is also responsible for building automated analytical tools, taking the lead on process re-engineering activities, analyze end to end cycle of KYC records, wastage analysis and dashboard enhancements.

Key Responsibilities:

• Designs/analyze moderately complex reports to satisfy business requirements including Dashboard and data summaries using Microsoft Excel and Access

• Reconcile global data between multiple datasets

• Translates raw data into easy-to-read format for decision makers, ensures data is present in an easy understanding for non-technical viewers in Microsoft Excel and Power Point

• Uses broad discretion in developing solutions for business reporting issues.

• Influences decisions through advice, counsel and/or facilitating services to others throughout the use of reports or customized views.

• Performs complex data analysis in various dataset and ensures data quality controls are in place.

• Eliminates waste and non-value-add activities by leading process automating efforts.

• Strong communication and diplomacy skills are required.

Qualifications:

• 5-8 years of previous data analytics / data management experience

• Bachelor’s degree in computer science, Systems Engineering, Industrial Engineering, Mathematics, Statistics or similar.

• 90% English required.

• Strong (written and oral) communication skills and proven ability to lead and facilitate Client discussions to ensure mutually beneficial outcomes.

• Extensive knowledge of Microsoft Excel, Microsoft Access and SharePoint.

• Experience with process automation solutions via scripting languages (VBA).

• Strong ability to analyze, reconcile, manipulate and reformat large data sets to ensure accuracy and completeness of all assigned requests.

• Design, develop and implement solutions that solve real-life business problems using technical and business acumen.

• Methodical approach to complex tasks with clear focus on tangible outcomes and objectives.

• Ability to manage multiple tasks and complex work load.

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