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A leading national auto insurance provider is seeking a Senior Engineer – Data Analytics in Elundini Local Municipality, Eastern Cape. The role focuses on designing high-performance data analytics solutions to support enterprise operations. Key responsibilities include building robust data models and reports using SQL, dbt, and Power BI. Candidates should have at least 4 years of data analytics experience, strong SQL skills, and a degree in a related field. Competitive benefits and a collaborative work environment are offered.
Primary Job Title: Senior Engineer – Data Analytics
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Location: Chevy Chase, MD
Onsite Flexibility: Remote
Contract Details:
Job Summary: The Senior Engineer – Data Analytics will design, develop, and optimize high-performance data analytics solutions to support enterprise-scale insurance operations. This role is part of the Data Analytics Center of Excellence (CoE) and focuses on building robust, scalable, and automated data models and reports using modern technologies like Snowflake, dbt, SQL, and Power BI. The ideal candidate brings both deep technical knowledge and a passion for innovation, collaboration, and engineering excellence.
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About the Company: A national auto insurance provider offering affordable and reliable coverage across the United States. The organization also provides homeowners, renters, and boat insurance while maintaining a strong commitment to customer satisfaction, innovation, and continuous improvement. Employees enjoy a collaborative and technology-forward environment focused on excellence and growth.
About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation’s largest life sciences, biotech, utility, and retail companies across the U.S. and Canada. We look forward to helping you land your next great career opportunity!
Job Number: 25-28099
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