Data Analyst

Job Description

Job Description

Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable.

The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions.

Key Responsibilities

Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability.
Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.
Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions.
Design, develop, and support operational dashboards and reporting solutions using Power BI.
Assist with migration of legacy reporting processes to modern business intelligence platforms.
Manage datasets, semantic models, report distributions, and reporting governance processes.
Collaborate with business leaders to define reporting requirements and establish data standards.
Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations.
Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.

Qualifications

Experience within the Property & Casualty insurance industry is required
Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred.
8+ years of data analytics, data operations, or business intelligence
Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI.
Experience with Microsoft Fabric and Medallion Architecture methodologies.
Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.
Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups.
Experience with Origami and/or DXC Assure Claims is a plus.Data Analysis, Data Warehousing, SQL, Python, Insurance Companies, Property Casualty Insurance, Business operations