Lead Analyst & Business Intelligence & Risk Reporting

As a Lead Analyst in Business Intelligence & Risk Reporting, you will play a vital role in transforming raw data into actionable insights. Your work will significantly enhance the accuracy, consistency, and reliability of credit risk data, facilitating faster and more confident decision-making across portfolio management, risk monitoring, and senior leadership reporting. Key Responsibilities: - Develop analytics-ready credit risk datasets that are reusable, scalable, curated, and well-structured for downstream analytics and reporting consumption. - Create robust SQL transformation logic by crafting production-grade SQL scripts that handle complex joins, aggregations, windowing, and performance optimization across large, multi-source datasets. - Build automated data preparation pipelines using Tableau Prep to establish repeatable data transformation workflows, minimizing manual intervention, and reducing operational risk. - Establish reusable data assets and datasets in the form of common, documented data layers and views that can be leveraged across various analytics, reporting, and ad-hoc use cases. - Provide Python-based analytics support through the creation of scripts for data wrangling, exploratory analysis, validation, and automation of recurring analytical tasks. - Document data lineage and artifacts clearly, including source-to-target mappings, transformation logic, assumptions, and data dependencies. - Identify and resolve data anomalies in a timely manner through issue resolution and root-cause analysis, ensuring clear explanations are shared with stakeholders. Qualifications Required: - Strong understanding of credit risk data and the banking domain. - Proficiency in data validation, reconciliation, and control processes. - Ability to interpret portfolio movements, variances, and anomalies using data. - Experience with managing multiple upstream data sources and resolving data inconsistencies. - Familiarity with data lineage, metadata, and transformation logic. - Collaboration skills with stakeholders from risk, analytics, finance, and technology teams. - Structured problem-solving and root-cause analysis abilities. - Proficient documentation and knowledge-sharing capabilities. - Analytical mindset with attention to detail and big-picture context. In addition, FC Global Services India LLP is an Equal Employment Opportunity Employer that promotes diversity and prohibits discrimination based on various characteristics. The company is committed to providing an inclusive and accessible hiring process to ensure fairness throughout the employee life cycle. As a Lead Analyst in Business Intelligence & Risk Reporting, you will play a vital role in transforming raw data into actionable insights. Your work will significantly enhance the accuracy, consistency, and reliability of credit risk data, facilitating faster and more confident decision-making across portfolio management, risk monitoring, and senior leadership reporting. Key Responsibilities: - Develop analytics-ready credit risk datasets that are reusable, scalable, curated, and well-structured for downstream analytics and reporting consumption. - Create robust SQL transformation logic by crafting production-grade SQL scripts that handle complex joins, aggregations, windowing, and performance optimization across large, multi-source datasets. - Build automated data preparation pipelines using Tableau Prep to establish repeatable data transformation workflows, minimizing manual intervention, and reducing operational risk. - Establish reusable data assets and datasets in the form of common, documented data layers and views that can be leveraged across various analytics, reporting, and ad-hoc use cases. - Provide Python-based analytics support through the creation of scripts for data wrangling, exploratory analysis, validation, and automation of recurring analytical tasks. - Document data lineage and artifacts clearly, including source-to-target mappings, transformation logic, assumptions, and data dependencies. - Identify and resolve data anomalies in a timely manner through issue resolution and root-cause analysis, ensuring clear explanations are shared with stakeholders. Qualifications Required: - Strong understanding of credit risk data and the banking domain. - Proficiency in data validation, reconciliation, and control processes. - Ability to interpret portfolio movements, variances, and anomalies using data. - Experience with managing multiple upstream data sources and resolving data inconsistencies. - Familiarity with data lineage, metadata, and transformation logic. - Collaboration skills with stakeholders from risk, analytics, finance, and technology teams. - Structured problem-solving and root-cause analysis abilities. - Proficient documentation and knowledge-sharing capabilities. - Analytical mindset with attention to detail and big-picture context. In addition, FC Global Services India LLP is an Equal Employment Opport