Job Title: Senior Data Analyst
Type: Contract
Experience Level: Senior
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
Type: Contract
Experience Level: Senior
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
- Data modelling and SQL experience a must have