Senior Workforce Analytics Analyst
Listed on 2026-02-20
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
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, Power
BI, Alvaria/Aspect, AWS Connect, to transform our contact center performance.
We are seeking a highly skilled and motivated Senior Data Insights Analyst 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- 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.
- Create and maintain detailed reports and dashboards using SQL, Power BI, Excel, PowerPoint, and other tools to present complex data in a clear and actionable format.
- Ensure the accuracy and consistency of workforce metrics across all reporting processes.
- Translate actionable analytical findings into recommendations for stakeholders, tailoring communication for both technical and non‑technical audiences.
- Collaborate with WFM leaders to develop data‑driven staffing models, ensuring alignment with business goals and operational needs.
- Provide analytical insights to support short‑term and long‑term workforce planning, scheduling, and intraday management.
- Identify opportunities to proactively improve capacity planning, staffing efficiency, and cost management.
- Define, track, and analyze key performance indicators (KPIs) for workforce efficiency, service levels, and operational effectiveness.
- Identify and recommend process improvements to streamline WFM operations and enhance productivity.
- Benchmark performance against industry standards to inform workforce strategies.
- Leverage advanced workforce management tools and data (e.g., NICE, Alvaria, or similar platforms) to enhance forecasting, scheduling, and reporting.
- Utilize data analytics software and HR platforms to increase the accuracy and usability of workforce data.
- Support the integration of new tools, processes, and technologies to improve operational scalability and data‑driven decision‑making.
- 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.
- 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, and statistical analysis.
- Strong critical thinking, problem‑solving, and…
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