Lead Data Analyst - Data Operations

Job Description

Grade Level (for internal use): 08 Grade Level (for internal use): 8 Job Title: Lead Data Analyst Functional Domain: Enterprise Data Organization 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. What's In It for You: Collaborative Environment: Work closely with client-facing teams to enhance service delivery and client satisfaction. Quality Focus: Engage with the Quality Assurance team to ensure data accuracy and integrity across all analyses. Career Growth: Opportunity to progress within the organization by leveraging strong technical knowledge and expertise. Skill Development: Enhance your skills in data analysis, visualization, and client management through continuous learning and development. Global Exposure: Be part of a diverse team that operates across different time zones, promoting a global mindset and cultural understanding. Basic Required Qualifications: Bachelors degree in Data Science, Computer Science, Finance, or a related field. 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.