Data Analyst - Remote - Atlanta, GA

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.

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