Client Data Analyst

As a Team Leader within the Wholesale KYC Operations Data & Reporting Team, you will collaborate with the LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive, and Regulatory commitments. You will document processes and procedures to lead and deliver ongoing reporting, ensuring privacy and accuracy through a strong control framework. You will define company-wide metrics, select and implement analytics solutions, and build systems to transform raw data into actionable business insights. Your role will involve monitoring project progress, providing regular status updates, and developing presentations and materials.

Job responsibilities:

• Collaborate with the LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive and Regulatory commitments.
• Document processes and procedures to leading and delivering ongoing reporting including leveraging a strong control framework to ensure privacy & accuracy of reporting
• Define company-wide metrics and relevant data sources; Select, configure & implement analytics solutions
• Extract reports from multiple sources (e.g. operations, IT, customer feedback)
• Build systems to transform raw data into actionable business insights and KYC committed relations
• Monitor progress against project plans until completion and delivery. Provide regular status updates to management; develop presentations and materials
• Structuring and scoping complex problems, applying a range of analytical tools, gaining and synthesizing insights and developing solutions; Gathering, modeling, analyzing data to test hypothesis and size opportunities;
• Building technology solutions to aggregate data and develop metrics; Applying institutional knowledge from the KYC Operations and Reference Data industry; and Harness a consistent approach to optimize the data & reporting landscape to right-size the footprint

Required qualifications, capabilities, and skills:

• A bachelor’s degree is required; qualified Computer Science, Statistics, Data Management or a related field
• 2+ years’ experience with an experience in Python, SQL, Data & Reporting Operations, data Management, Analytics and Business Analysis experience is key.
• Strong analytical / critical thinking and problem-solving skills; able to develop and clearly present drawn conclusions & potential solutions with consideration to inherent risks
• Experience on data visualization / analytics tools – Tableau, Qlikview, Alteryx, Qliksense.
• Ability to communicate effectively at many levels of the organization including synthesizing key messages for senior management
• Ability to multi-task, work under tight deadlines, and quickly adjust to changing priorities

Preferred qualifications, capabilities, and skills :

• A bachelor’s degree is required; qualified Computer Science, Statistics, Data Management or a related field is a preference.
• 2+ years’ experience with an experience in Python, SQL, Data & Reporting Operations, data Management, Analytics and Business Analysis experience is key. Focus in Data Analytics / Data Analytics space highly preferred.
• Strong analytical / critical thinking and problem-solving skills; able to develop and clearly present drawn conclusions & potential solutions with consideration to inherent risks
• Experience on data visualization / analytics tools – Tableau, Qlikview, Alteryx, Qliksense.
• Ability to communicate effectively at many levels of the organization including synthesizing key messages for senior management
• Ability to multi-task, work under tight deadlines, and quickly adjust to changing priorities