Lead Data Analyst – Banking Data, Dashboards & Insights

spgi; Islamabad; On-site; PKR 19,434,000 - 30,539,000; Full time

Job summary

S&P Global Data Quality seeks a Lead Data Analyst to manage client inquiries, analyze banking datasets, and contribute to data integrity. The role emphasizes SQL, Python, Salesforce, and Power BI, with a global team and cross-functional collaboration.

The position supports data visualization initiatives, QA participation, and ongoing product enhancements while adapting to shifts and time zones. A proactive, detail-oriented communicator is essential.

Qualifications

• Proven experience working with banking datasets and managing client inquiries.
• Proficiency in SQL for data analysis and manipulation.
• Experience with Python for advanced data analysis is preferred.

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.

Skills

SQL

Python

Salesforce

Power BI

Job description

S&P Global Data Quality seeks a Lead Data Analyst to manage client inquiries, analyze banking datasets, and contribute to data integrity. The role emphasizes SQL, Python, Salesforce, and Power BI, with a global team and cross-functional collaboration.

The position supports data visualization initiatives, QA participation, and ongoing product enhancements while adapting to shifts and time zones. A proactive, detail-oriented communicator is essential.