Senior Data Analyst

V4C.ai

32d

About The Position

V4C.ai is searching for a skilled Senior Data Analyst to join our dynamic team. In this role, you will harness your analytical expertise and business acumen to convert data into meaningful insights, driving strategic decision-making across the organization. You will be responsible for analyzing complex data sets, presenting findings to stakeholders, and guiding data-driven strategies for our clients. Key Responsibilities Conduct thorough data analysis to identify trends, patterns, and insights to inform business decisions. Create and maintain dashboards and reports to facilitate data-driven storytelling for stakeholders. Collaborate with cross-functional teams to gather requirements and deliver high-impact data solutions. Use statistical methods to interpret data and validate models for accurate forecasting. Mentor junior analysts, providing guidance on data analysis techniques and best practices. Stay up-to-date with industry trends and technologies to continually improve the data analysis process. As an experienced analyst/ analyze data related but not limited to policy, claims, invoices etc. Monitor, and enforce data quality standards, KPIs, and metrics for critical datasets. Act as a liaison between insurers, product operations, and business units to ensure data integrity across the claims lifecycle. Act as the data steward for pet insurance data to collaborate and communicate with MGAs and Clarus stakeholders. Perform in-depth investigations into data inaccuracies. Maintain comprehensive documentation of data quality processes, standards, and data dictionary definitions. Create data mapping documents as necessary and perform data modelling as needed.

Requirements

Data modelling and SQL experience a must have

Responsibilities

Conduct thorough data analysis to identify trends, patterns, and insights to inform business decisions.
Create and maintain dashboards and reports to facilitate data-driven storytelling for stakeholders.
Collaborate with cross-functional teams to gather requirements and deliver high-impact data solutions.
Use statistical methods to interpret data and validate models for accurate forecasting.
Mentor junior analysts, providing guidance on data analysis techniques and best practices.
Stay up-to-date with industry trends and technologies to continually improve the data analysis process.
Analyze data related but not limited to policy, claims, invoices etc.
Monitor, and enforce data quality standards, KPIs, and metrics for critical datasets.
Act as a liaison between insurers, product operations, and business units to ensure data integrity across the claims lifecycle.
Act as the data steward for pet insurance data to collaborate and communicate with MGAs and Clarus stakeholders.
Perform in-depth investigations into data inaccuracies.
Maintain comprehensive documentation of data quality processes, standards, and data dictionary definitions.
Create data mapping documents as necessary and perform data modelling as needed.