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.
Numbers & Facts
Location
Atlanta, GA (Remote)
Skills
Analysis Skillsunmatched
Automationunmatched
Best Practicesunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Collectionunmatched
Data Managementunmatched
Data Mappingunmatched
Data Miningunmatched
Data Processingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Visualizationunmatched
Data Visualization Toolsunmatched
Detail Orientedunmatched
Industry/Trade Analysisunmatched
Informaticaunmatched
Insuranceunmatched
People Managementunmatched
Power BIunmatched
Predictive Modelingunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Project Lifecycleunmatched
Property and Casualty Insuranceunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
Reliability Analysisunmatched
Reporting Dashboardsunmatched
Requirements Managementunmatched
Risk Analysisunmatched
SQL (Structured Query Language)unmatched
Software Development Lifecycle (SDLC)unmatched
Tableauunmatched
Team Playerunmatched
Technology Analysisunmatched
Training Data Setsunmatched
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