5+ years of experience as a Data Analyst in the property and casualty insurance industry
Strong SQL skills and proficiency with data analysis and visualization tools (e.g., Python, Tableau, Power BI, Informatica)
Experience in data mining, data mapping, and extracting insights from complex datasets
Excellent communication and collaboration skills to convey technical findings to non-technical audiences and work cross-functionally
Requirements:
Data extraction and compilation from multiple sources in the property and casualty insurance industry to prepare datasets for analysis
Advanced data mining to uncover patterns, trends, and correlations for predictive models and risk assessment
Stakeholder collaboration to define data requirements and ensure alignment with business objectives and data quality improvements
Data visualization and reporting to transform data into actionable visuals and present findings to non-technical audiences
Job description
Job Title: Data Analyst Location: Remote - Atlanta, GA Duration: 6 months Pay Rate: DOE
US Citizens and Green cards are Preferred.
Key Responsibilities:
Data Extraction and Compilation: Leverage your in-depth knowledge of the property and casualty insurance industry to identify relevant data sources, extract pertinent information, and compile datasets for analysis.
Advanced Data Mining: Apply sophisticated data mining techniques to uncover patterns, trends, and correlations within large datasets, contributing to predictive models and risk assessment strategies.
Stakeholder Collaboration: Work closely with internal stakeholders to define data requirements, ensuring alignment with business objectives and providing guidance on data collection and quality enhancement.
Data Visualization: Use data mapping and visualization tools to transform raw data into easily interpretable visual representations, facilitating insights and decision-making processes.
Insight Communication: Actively participate in data-related discussions, contributing your industry expertise to shape data strategies and solutions that address business challenges.
Reporting and Presentation: Prepare and present clear, concise, and actionable reports, dashboards, and presentations to communicate findings, recommendations, and insights to non-technical collaborators.
Data Integrity Monitoring: Continuously monitor data accuracy, consistency, and completeness, identifying and addressing anomalies or discrepancies to maintain data integrity.
Process Improvement: Collaborate with data engineers and other technical teams to identify opportunities for process automation, data pipeline improvements, and data quality enhancements.
Industry Knowledge: Stay up-to-date with industry trends, best practices, and new technologies in data analysis, insurance, and related domains.
Qualifications:
Experience: 5+ years as a Data Analyst, with a proven track record in the property and casualty insurance industry.
Technical Skills: Strong SQL skills, proficiency in data analysis and visualization tools such as Python, Tableau, Power BI, Informatica, etc.
Analytical Expertise: Demonstrated expertise in data mining, mapping, and analytical techniques to derive meaningful insights from complex datasets.
Communication Skills: Exceptional ability to convey technical findings to non-technical audiences and facilitate data-driven discussions.
Initiative and Collaboration: Proven experience in driving data-focused initiatives and collaborating across teams to deliver impactful solutions.
Problem-Solving: Strong problem-solving skills with a keen attention to detail, ensuring the accuracy and reliability of analytical results.
Project Life Cycle: Expertise in the Software Development Life Cycle (SDLC).
Teamwork: Ability to work independently and as part of a team in a fast-paced, dynamic environment.
