Senior Data Analyst - Investment Risk

Job Description Role Overview: You will be joining the Investment Risk team as a Senior Data Analyst in the Operations and Analytics department located in Gurgaon, India. Your primary responsibility will be to run and support enterprise-grade reporting tools and business analytics using Datawarehouse(SQL), Python & Power BI to connect to complex and high-volume data sources. You will work closely with key stakeholders across FIL locations to deliver desired business outcomes within the Investment Risk Oversight team. Key Responsibilities: - Execute and monitor daily jobs using Python - Troubleshoot data issues using SQL Queries - Build an understanding of all upstream data sources and the granularity of data relevant for IR reporting - Proactively monitor daily data load process and inform stakeholders - Respond to user queries for risk reports - Enhance existing data quality frameworks to answer common user queries via automated reports - Review data quality frameworks for areas of improvement - Maintain, review, and update documentation reflecting the latest status of BAU functions - Support testing new functionalities and platform upgrades to ensure no impact on existing reporting - Be well versed with AGILE methodologies and release management principles Qualifications Required: - 4-6 years of experience in data analytics - Proficiency in Datawarehouse(SQL), Python, and Power BI - Strong understanding of data analytics solutions for Investment Risk oversight - Experience in working with complex and high-volume data sources - Familiarity with AGILE methodologies and release management principles (Note: Additional details about the company were not provided in the job description) Role Overview: You will be joining the Investment Risk team as a Senior Data Analyst in the Operations and Analytics department located in Gurgaon, India. Your primary responsibility will be to run and support enterprise-grade reporting tools and business analytics using Datawarehouse(SQL), Python & Power BI to connect to complex and high-volume data sources. You will work closely with key stakeholders across FIL locations to deliver desired business outcomes within the Investment Risk Oversight team. Key Responsibilities: - Execute and monitor daily jobs using Python - Troubleshoot data issues using SQL Queries - Build an understanding of all upstream data sources and the granularity of data relevant for IR reporting - Proactively monitor daily data load process and inform stakeholders - Respond to user queries for risk reports - Enhance existing data quality frameworks to answer common user queries via automated reports - Review data quality frameworks for areas of improvement - Maintain, review, and update documentation reflecting the latest status of BAU functions - Support testing new functionalities and platform upgrades to ensure no impact on existing reporting - Be well versed with AGILE methodologies and release management principles Qualifications Required: - 4-6 years of experience in data analytics - Proficiency in Datawarehouse(SQL), Python, and Power BI - Strong understanding of data analytics solutions for Investment Risk oversight - Experience in working with complex and high-volume data sources - Familiarity with AGILE methodologies and release management principles (Note: Additional details about the company were not provided in the job description)