Data analyst - Remote (P&C Insurance experience - 5 years Min)

Data Analyst

P&C Insurance experience – 5 years Min Duration: 6 months Location: Atlanta, GA Rate: DOE US Citizen, Green Card, TN, GC EAD, and H4 EAD only No Third-party agencies Corp to Corp

Key Responsibilities:

• Apply your in-depth knowledge of the property and casualty insurance industry to identify relevant data sources, extract pertinent information, and compile datasets for analysis.
• Apply advanced data mining techniques to uncover patterns, trends, and correlations within large and sophisticated datasets, contributing to the development of predictive models and risk assessment strategies.
• Collaborate with internal stakeholders to define data requirements, ensuring alignment with business objectives and providing guidance on data collection and quality enhancement.
• Employ data mapping and visualization tools to transform raw data into easily interpretable visual representations, facilitating insights and decision-making processes.
• Act as a proactive participant in data-related discussions, contributing your industry expertise to shape data strategies and solutions that address business challenges.
• Prepare and present clear, concise, and practical reports, dashboards, and presentations to communicate findings, recommendations, and insights to non-technical collaborators.
• Continuously monitor data accuracy, consistency, and completeness, identifying and addressing any anomalies or discrepancies to maintain data integrity.
• Collaborate with data engineers and other technical teams to find opportunities for process automation, data pipeline improvements, and data quality enhancements.
• Stay up-to-date with industry trends, standard methodologies, and new technologies in data analysis, insurance, and related domains.

Qualifications:

• 5+ years of experience as a data analyst.
• Proven track record in the property and casualty insurance industry, with a solid understanding of insurance products, underwriting processes, and market dynamics.
• Strong SQL skills
• Proficiency in data analysis and visualization tools such as Python, Tableau, Power BI, Informatica, etc.
• Demonstrated expertise in data mining, mapping, and analytical techniques to derive meaningful insights from complex datasets.
• Exceptional communication skills, with the ability to convey technical findings to non-technical audiences and facilitate data-driven discussions.
• Proven track record of driving data-focused initiatives, and collaborating across teams to deliver impactful solutions.
• Strong problem-solving skills and a keen attention to detail, ensuring accuracy and reliability of analytical results.
• Expertise in SDLC full project life cycle
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.