Remote Data Quality Analyst

Key Responsibilities Leverage your knowledge of property and casualty claims data to identify the best usage of structured and unstructured claims data in current and future products. Utilize integration skillset to develop and implement API / scripting to obtain and process customer data. Assist in the design and implementation of solutions leveraging reporting, dashboarding and other data visualization techniques to provide analytical insights on existing data quality. Collaborate with data engineering, data science and other teams regarding strategies to deliver timely feedback on model predictions and data quality to our clients. Integrate governance practices across the organization to ensure data integrity and accuracy. Lean on technical and process solutions to solve problems in scalable and sustainable ways. Participate in efforts to develop rules around data standardization and see them through to implementation. Identify gaps in the quality assurance and testing processes, generate solutions, and drive continuous improvement. Work directly with clients to evaluate their data, map it appropriately for model consumption and testing the data output in user interface before release to production. Contribute in an agile, collaborative, and fast paced environment. Qualifications and Expertise 3 years of experience working in or supporting the P&C insurance industry with emphasis on commercial auto Experience in claims systems data integration, including Guidewire's ClaimCenter Knowledge of insurance principles, terminology, customs and practices in Auto, General Liability and / or Workers' Compensation (multiple lines preferred) Highly motivated individual who is adept at working independently and comfortable collaborating across teams Proficient in evaluating claims data to identify trends and anomalies Strong problem-solving skills with the ability to listen to customer needs, translate them into actionable solutions and take ownership of ensuring timely resolution Demonstrated ability to concisely present and communicate complex information to technical and non-technical audiences, including executives Skilled in developing working relationships and interacting effectively with all levels of the organization Experience constructing narratives with data Ability to quickly adapt to new or changing situations, requirements, or priorities Experience in SQL (SQL Server, PostgreSQL, MySQL) Experience with analytics tools (Superset, Excel, PowerBI etc.) Additional Preferred Skills Experience in Python, R, SAS, Java, or Scala Experience in Master Data Management and Data Governance Exposure to Informatica or Alteryx regarding data cleansing, standardization, and quality Insurtech experience Experience with Jira / Confluence Experience with Google Workspace