Principal Consultant - Business Analyst
Genpact
5 - 10 years
Noida
Posted: 24/03/2025
Job Description
Responsibilities
:1. Requirements Gathering & Data Analysis
o Engage with business stakeholders (underwriting, claims, and operations teams) to gather comprehensive reporting and data requirements for Bordereaux processes.
o Analyze insurance-specific business processes (submissions, policies, claims, and reinsurance) to identify relevant data sources, key metrics, and KPIs for Bordereaux reporting.
o Identify the sources of data (internal and external) required for Bordereaux and collaborate with technical teams to define how these data sources should be integrated into reporting systems.
o Define key data attributes such as policy-level data, claims reserves, loss ratios, underwriting efficiencies, and reinsurance aggregation requirements.
2. Data Mapping & Integration
o Work with data engineers and developers to define the data flow, ensuring accurate mapping of data from multiple sources such as policy administration, claims systems, and Bordereaux platforms into central data storage and dashboards.
o Ensure that data integration strategies support real-time or batch updates, depending on business needs.
o Assist in designing data models to ensure that data structures are optimal for Bordereaux reporting, adhering to best practices in data governance, and ensuring compliance with insurance industry standards.
3. Testing & Quality Assurance
o Develop and execute UAT plans, including test scenarios, scripts, and acceptance criteria for Bordereaux reports and dashboards.
o Ensure data quality by validating the data extracted, transformed, and loaded (ETL) through the process, ensuring it aligns with business requirements.
o Identify data discrepancies or data integrity issues and communicate these with data engineers for resolution.
o Conduct data validation on aggregated Bordereaux data, ensuring the accuracy and completeness of reports for underwriting, claims, reinsurance, and policy lifecycle metrics.
4. Bordereaux Reporting Design & Data Visualization
o Collaborate with stakeholders on the design of data-driven reports and dashboards specific to Bordereaux management, focusing on:
Policy and claims data aggregation
Underwriting productivity and efficiency metrics
Claims loss ratios, reserves, and incurred losses
Ceded reinsurance reports and reconciliation
Broker performance tracking
o Use data visualization tools (e.g., Power BI) to design user-friendly dashboards that empower stakeholders with actionable insights.
o Ensure that data is presented in an understandable format for business users, supporting decision-making in underwriting, claims, and reinsurance management.
5. Data Governance & Quality Control
o Support data governance efforts to ensure the quality, security, and compliance of Bordereaux data.
o Define and implement processes for data validation, data lineage tracking, and ensuring that the data used for Bordereaux reports adheres to established standards.
o Work with data stewards to monitor data health and take proactive measures to resolve data issues before they affect the reporting process.
o Help implement data security protocols to ensure sensitive Bordereaux and insurance data is protected.
6. Collaboration with Data Teams
o Work with data engineers, data scientists, and other technical teams to ensure the seamless flow of data between source systems (policy administration, claims) and the reporting systems.
o Ensure that data pipelines are built to facilitate the extraction, transformation, and loading (ETL) of Bordereaux data into reporting environments.
o Review data pipeline architecture and optimize data flow for faster report generation and better data processing efficiency.
7. Documentation & Reporting Framework
o Document all data flows, data transformations, and report specifications to ensure transparency and standardization in Bordereaux data handling.
o Create and maintain comprehensive documentation, including business requirements, data dictionaries, UAT plans, and user guides.
o Standardize Bordereaux reporting processes to ensure consistency across different business units.
8. Continuous Data Improvement
o Continuously assess and identify opportunities to improve data-related processes in Bordereaux reporting.
o Stay updated on new data technologies, tools, and trends to bring innovative solutions to data management and reporting.
o Provide recommendations on improving data architecture and governance in Bordereaux reporting processes.
o Work with business stakeholders to continuously evolve and optimize the KPIs and metrics used in Bordereaux reports to meet evolving business needs.
Qualifications:
Minimum Qualifications:
Bachelors degree in Finance, Commerce, Mathematics, Business Analytics, Data Science, or a related field.
Proven experience in data analysis, data mapping, and data reporting within the insurance domain, specifically Bordereaux management.
Proficiency in SQL for data querying, data extraction, and validation purposes.
Hands-on experience with data visualization tools such as Power BI, Tableau, or similar.
Familiarity with ETL/ELT processes, data transformation, and integration tools.
Strong knowledge of data governance concepts such as data quality, lineage, and compliance in Bordereaux reporting.
Familiarity with insurance systems such as policy administration, claims systems, and reinsurance platforms.
Preferred Qualifications:
Masters degree in a related field (e.g., Data Science, Business Analytics, Finance, Insurance).
Exposure to cloud data platforms like Azure or AWS, including experience in Azure Data Factory or AWS Glue for data integration.
Experience with data modeling and relational database design.
Familiarity with Bordereaux management and processes like ceded reinsurance, loss reserves, and claims reporting.
Experience with Agile methodologies and tools like Jira and Confluence for project management.
Experience in data quality assurance and data security protocols.
Key Skills & Attributes:
Strong data analysis and reporting skills, particularly related to insurance data (Bordereaux, underwriting, claims).
Ability to translate complex data requirements into clear and actionable insights for stakeholders.
Strong interpersonal and facilitation skills for working with technical teams and business stakeholders.
Excellent attention to detail with a proactive approach to identifying data issues and resolving them.
Strong understanding of data flow, data integration, and data governance best practices.
About Company
Genpact is a global professional services firm that offers a wide range of digital transformation services and solutions. With a presence in over 30 countries, Genpact leverages its deep domain expertise in operations and analytics to help businesses transform their operations, improve efficiency, and enhance customer experience. The company combines digital technology, data science, and operational excellence to deliver business outcomes across various industries, including banking, insurance, manufacturing, and healthcare. Founded in 1997 as a subsidiary of GE, Genpact has grown into an independent, NYSE-listed company with a diverse workforce of over 90,000 employees globally.
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