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. dvanced Data Mining: pply 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: ctively 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. nalytical 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: bility to work independently and as part of a team in a fast-paced, dynamic environment.
