Senior Workforce Analytics Analyst
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
About Geico
Third-largest US auto insurer, selling personal auto and property coverage direct-to-consumer to millions of drivers; a wholly owned Berkshire Hathaway subsidiary.
Acquired · 5000+ people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
NICE WFM platform, PowerBI, Alvaria/Aspect, AWS Connect, to transform our contact center performance. Position Overview: We are seeking a highly skilled and motivated Senior Data Insights Analysts to provide world-class analytical support for our Contact Center Workforce Management (WFM) function. In this role, you will leverage data to optimize workforce strategies, improve operational efficiency, and support decision-making across the organization. The ideal candidate will have a deep understanding of contact center operations, data analytics, strong technical skills, and a collaborative mindset, driving transformative results in workforce planning and performance. Key Responsibilities: Data Analysis & Insights: As a Senior analyst, collect, process, and analyze contact center operational data to identify trends, patterns, and actionable insights that drive future proof
More from the job description
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is leading the charge in delivering superior customer service across our Contact Center operations, supporting over 9,000 agents in our Auto Service, Sales, Claims, Commercial, and Recreational product lines. We are committed to operational excellence and leveraging cutting-edge workforce management strategies, including the NICE WFM platform, PowerBI, Alvaria/Aspect, AWS Connect, to transform our contact center performance. Position Overview: We are seeking a highly skilled and motivated Senior Data Insights Analysts to provide world-class analytical support for our Contact Center Workforce Management (WFM) function. In this role, you will leverage data to optimize workforce strategies, improve operational efficiency, and support decision-making across the organization. The ideal candidate will have a deep unders [... source excerpt omitted ...] ding of contact center operations, data analytics, strong technical skills, and a collaborative mindset, driving transformative results in workforce planning and performance. Key Responsibilities: Data Analysis & Insights: As a Senior analyst, collect, process, and analyze contact center operational data to identify trends, patterns, and actionable insights that drive future proof operational improvements. Conduct root cause analysis on workforce performance issues, such as service level failures and staffing challenges. Collaborate with teams developing predictive models to enhance forecasting accuracy and optimize staffing plans. Reporting & Visualization: Create and maintain [... source excerpt omitted ...] e accuracy and usability of workforce data. Support the integration of new tools, processes, and technologies to improve operational scalability and data-driven decision-making. Qualifications: Education & Experience: Bachelor’s degree in data Analytics, Workforce Management, Business Administration, or a related field. Minimum of 4 years of experience in workforce analytics, contact center operations, or WFM-related roles. Technical Skills: Proficiency in SQL, Power BI, Excel, and other data analytics or visualization tools. Experience with workforce management software such as AWS Connect, NICE, Alvaria, or similar platforms. Familiarity with predictive modeling, data mining
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