Data Quality Analyst

December 13, 2024

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CLARA Analytics

CLARA Analytics is a leading provider of AI-driven technology solutions for casualty claims management. Its platform, CLARAty. ai, offers tools such as Document Intelligence, Triage, Treatment, and Fraud detection, designed to optimize the claims process for insurance carriers, MGAs/MGUs, reinsurers, and self-insured organizations. By leveraging artificial intelligence and machine learning, CLARA Analytics helps reduce loss costs, improve operational efficiency, and detect fraudulent claims in real-time. Its solutions are used widely within the workers' compensation, auto liability, and general liability sectors, providing actionable insights and industry benchmarking to enhance claims management outcomes.

workers'​ compensation • occupational injuries • insurtech • data science • predictive analytics

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.) • 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

🏖️ Benefits

• The opportunity to make a real impact on a growing company. • Work on challenging and rewarding projects that will push your technical skills. • Collaborative and supportive work environment. • Competitive salary and benefits package. • Be a part of a team that is passionate about what we do.

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