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GEICO — жеке жүргізушілер мен үй шаруашылықтарына арналған автокөлік сақтандыруымен танымал америкалық сақтандыру компаниясы. Оның цифрлық құралдары клиенттердің ақпаратын қорғауға бағытталған құпиялылық шаралары арқылы полистерді басқару мен сақтандыру талаптарын қолдауға мүмкіндік береді. Автокөлік сақтандыруымен қатар, GEICO үй иелері мен жалға алушыларға арналған сақтандыруды ұсынып, онлайн қызметті клиентке бағдарланған сақтандыру қолдауымен ұштастырады.
Contact Center Data Analytics Engineer I - Dallas Hybrid
Join GEICO as a Contact Center Data Analytics Engineer I supporting auto-insurance operations. Build reporting, monitor performance metrics, and turn contact center data into automation and process-improvement recommendations.
Сипаттама
- Create, test, deploy, and maintain data structures, enterprise reports, dashboards, visualizations, analytical systems, and recurring performance reports
- Examine contact center, IVR, digital, customer, and operational data to uncover trends, root causes, performance gaps, and automation or process-improvement opportunities
- Develop and maintain reporting solutions with Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics platforms
- Track core operational metrics and flag emerging issues involving call volume, containment, transfers, answer speed, abandonment, handle time, call drivers, and customer experience
- Collaborate with operations, workforce management, IVR, automation, product, technology, data architecture, and governance teams to define business needs and practical data solutions
- Investigate structured and unstructured data sources to understand system behavior, verify data quality, and broaden reporting and insight capabilities
- Document code, reporting logic, metric definitions, source systems, data structures, and operational assumptions clearly
- Act as a data steward for assigned subject areas by supporting data accuracy, availability, classification, and appropriate governance
- Present analytical findings effectively to technical and non-technical audiences and convert complex data into actionable business recommendations
Талаптар
- At least one year of experience in business, data, product, operations analytics, or a related analytical function
- At least one year of experience querying complex datasets with SQL and conducting data analysis
- At least one year of experience with analytical or programming languages such as Python, R, SAS, .NET, M, or DAX
- Experience creating reports or data visualizations with Power BI, Amazon QuickSight, Tableau, or comparable business intelligence tools
- Ability to handle large, complex datasets, validate analytical results, and communicate findings in a clear, business-oriented manner
- Ability to manage competing priorities, follow established processes, learn technical concepts quickly, and collaborate effectively across functions
- BA or BS degree, or equivalent experience, in computer science, statistics, analytics, operations research, economics, mathematics, business, or a related discipline
- Preferred: Experience supporting contact centers, IVR, customer service, workforce management, digital servicing, insurance, or financial technology
- Preferred: Experience with Amazon CloudWatch or comparable monitoring tools for detecting system, service, or operational anomalies
- Preferred: Experience working in Agile environments alongside product, engineering, or technology teams
- Preferred: Familiarity with data governance, metric definitions, data-quality validation, and documentation practices
- Preferred: Interest in automation, self-service enhancements, and converting analytics into measurable business value
- GEICO will consider sponsoring a qualified new applicant for employment authorization for this position
Артықшылықтар
- Individualized professional development programs
- Mentoring opportunities
- Support for professional certifications
- Competitive compensation
- Employee benefits
- Flexibility designed to support well-being and long-term goals
- GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers
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