Contact Center Data Analytics Engineer I

Role Overview

The Contact Center Data Analytics Engineer I plays a critical role in improving contact center performance by turning operational, customer, and system data into reliable insights, reporting, and automation opportunities.

What You Will Do

Develop, test, deploy, and maintain data structures, enterprise reports, dashboards, data visualizations, analytical systems, and recurring performance reporting. Analyze contact center, IVR, digital, customer, and operational data to identify trends, root causes, performance gaps, and opportunities for automation or process improvement.

Why It Might Be a Fit

The ideal candidate combines strong technical skills with practical business judgment and can use data to proactively identify issues, explain performance trends, and recommend actions that improve customer experience, operational efficiency, and business outcomes.

Requirements

• 1+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
• 1+ years of experience querying complex data sets using SQL and performing data analysis.
• 1+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
• Experience developing reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar business intelligence tools.
• Ability to work with large and complex data sets, validate results, and explain findings in a clear and business-focused way.
• Ability to manage multiple priorities, follow established processes, learn technical concepts quickly, and work effectively in a cross-functional environment.
• BA/BS degree or equivalent experience in computer science, statistics, analytics, operations research, economics, mathematics, business, or a related field.

Benefits

• Annual salary range: $79,950.00 – $141,450.00
• GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers
• Competitive pay, benefits, and flexibility to support your well-being and future
• Personalized development programs, mentorship, and certification assistance
• Inclusive and collaborative culture rooted in shared success
• Equal employment opportunity policy
• Reasonable accommodation for qualified individuals with disabilities

Tagged as: Data Analysis