Data Scientist

1 week ago


Atlanta, Georgia, United States Georgia IT Inc Full time
Job Title: Data Analyst
">Location: Remote - Atlanta, GA
">Duration: 6 months
">Pay Rate: $80-$120 per hour. US Citizens and Green cards are Preferred.

About the Job:
">We are seeking a skilled Data Analyst to join our team at Georgia IT Inc. As a Data Analyst, you will be responsible for analyzing large datasets, identifying trends, and providing insights that inform business decisions.
">About the Position:
">The ideal candidate will have 5+ years of experience as a Data Analyst in the property and casualty insurance industry. You will be proficient in data analysis and visualization tools such as Python, Tableau, Power BI, Informatica, etc. Strong SQL skills are also required. Additionally, you should have demonstrated expertise in data mining, mapping, and analytical techniques to derive meaningful insights from complex datasets.
">About Us:
">At Georgia IT Inc, we offer competitive salaries and a comprehensive benefits package. Our team is dedicated to delivering high-quality solutions that meet our clients' needs. If you are a motivated and detail-oriented individual with a passion for data analysis, please submit your application.

Key Responsibilities:
  • Data Extraction and Compilation: 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.
  • Stakeholder Collaboration: Work closely with internal stakeholders to define data requirements, ensuring alignment with business objectives.
  • Data Visualization: Use data mapping and visualization tools to transform raw data into easily interpretable visual representations.
  • Insight Communication: Actively participate in data-related discussions, contributing your industry expertise to shape data strategies and solutions.
  • Reporting and Presentation: Prepare and present clear, concise, and actionable reports, dashboards, and presentations.
  • Data Integrity Monitoring: Continuously monitor data accuracy, consistency, and completeness.

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