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GEICO

Senior Contact Center Data Analytics Engineer

GEICO

. Design, develop, test, deploy, and maintain complex data structures, enterprise reports, dashboards, analytical systems, and software .

Posted 9/17/2026full-timeRichardson • California • United StatesSenior💰 $97,375 - $172,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, including SQL querying, programming in Python or R, and utilizing cloud-based technologies like AWS or Azure. Proven ability to communicate complex insights effectively to diverse stakeholders while leading analytical projects and improving business intelligence solutions.

Highest-signal resume keywords
SQL QueryingData AnalysisPython ProgrammingBusiness Intelligence SolutionsCloud-Based Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsBusiness AnalyticsOperations AnalyticsAnalytical LanguagesReporting SolutionsData StructuresData StorytellingData StewardshipMetric DefinitionsValidation Routines
Soft Skills
CommunicationCoachingIndependent OperationComplex Priority Management
Tools & Technologies
SnowflakeHiveSparkHadoopAzureAWSDevOps ToolsSource Control
Industry Keywords
Data GovernanceData ClassificationContact Center AnalyticsIVR PerformanceOperational Indicators

Tech Stack

Tools & technologies
AWSAzureCloudHadoopPythonSparkSQL.NET

About the role

Key responsibilities & impact
  • Design, develop, test, deploy, and maintain complex data structures, enterprise reports, dashboards, analytical systems, and software
  • Lead analysis of contact center, IVR, digital, cloud, customer, workforce, and operational data
  • Identify root causes, quantify business impact, and recommend practical actions
  • Build, enhance, and troubleshoot reporting and monitoring solutions
  • Monitor data patterns, anomalies, customer contact behavior, IVR performance, containment, transfers, service levels, handle time, and other operational indicators
  • Partner with operations, workforce management, IVR, automation, product, engineering, data architecture, data science, and governance teams
  • Research and query internal and external, structured and unstructured data sources
  • Expand reporting capabilities, improve data availability, and strengthen business intelligence solutions
  • Assess opportunities for business intelligence, automation, self-service improvement, and proactive performance management
  • Improve development practices, reporting standards, metric definitions, documentation, validation routines, governance controls, and data stewardship
  • Protect sensitive data and support data classification and access controls
  • Instruct, review, and coach junior Data Analytics Engineers
  • Communicate complex insights to technical and non-technical stakeholders using data storytelling

Requirements

What you’ll need
  • 3+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role
  • 3+ years of experience querying complex systems using SQL and performing data analysis
  • 3+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX
  • 2+ years of experience using source control, DevOps tools, or collaborative development practices
  • 1+ years of experience with big data or cloud-based technologies such as Snowflake, Hive, Spark, Hadoop, Azure, AWS, or similar platforms
  • 3+ years of experience with a BA/BS degree or 5+ years of equivalent experience
  • Ability to operate independently, manage complex priorities, review technical work, and communicate clearly across business and technology audiences
  • BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, business, or a related field
  • At this time, GEICO will not sponsor a new applicant for employment authorization for this position

Benefits

Comp & perks
  • Personalized development programs
  • Mentorship
  • Certification assistance
  • Inclusive and collaborative culture
  • Competitive pay
  • Benefits
  • Flexibility to support your well-being and future