Data Quality Analyst

4 days ago

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CLARA Analytics

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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.