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Senior Data Analyst

V4C.ai

United States Remote contract

Posted: March 10, 2026

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Quick Summary

A Senior Data Analyst is responsible for analyzing complex data sets to identify trends, patterns, and insights to inform business decisions.

Job Description

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

• 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.


Requirements:
• 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

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