Georgia IT Inc
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.
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.