Lead Data Analyst - Data Operations

Job Title: Lead Data Analyst

Functional Domain: Enterprise Data Organization

Grade Level (for internal use): 8

Job Overview

The Lead Data Analyst will play a critical role in the CCST team, working in partnership with the Quality Assurance team. The role involves managing client inquiries, analyzing banking datasets, and leveraging advanced data manipulation skills. This position requires proficiency in SQL, and experience with Python, Salesforce, and Power BI is preferred. The successful candidate will thrive in a global team environment, demonstrating a strong commitment to data integrity and client satisfaction.

Key Responsibilities

• Client Management Inquiry Resolution: Act as the primary contact for managing and resolving client inquiries, ensuring exceptional service and satisfaction.
• Data Analysis Insights: Analyse client questions to uncover actionable insights that support strategic business decisions.
• Quality Assurance Participation: Participate in the execution of sampling workflow and quality assurance initiatives to enhance data accuracy and reliability.
• Data Visualization: Design and develop intuitive Power BI dashboards to facilitate effective data visualization for stakeholders.
• Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis, driving product enhancement.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives, fostering a global mindset.
• Shift Adaptability: Adapt to varying shifts as required, ensuring consistent and reliable support across diverse time zones.

Basic Required Qualifications

• Proven experience working with banking datasets and managing client inquiries.
• Proficiency in SQL for data analysis and manipulation.
• Ability to work in varying shifts to accommodate global business needs.

Key Soft Skills

• Strong attention to detail and analytical thinking.
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively in a team-oriented environment.
• Flexibility and adaptability to changing work conditions and priorities.

Additional Preferred Qualifications

• Experience with Python for advanced data analysis and automation.
• Familiarity with Salesforce for client relationship management.
• Proficiency in Power BI for creating impactful data visualizations.
• Demonstrated ability to quickly learn and apply new technologies.
• Previous experience in a client-facing role within the financial sector.