Contact Center Data Engineer I

The Contact Center Data 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. This role supports the analytics needs of contact center operations, interactive voice response (IVR), self-service, workforce management, product, and technology partners. 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., * 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.
• Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics tools used by the team.
• Monitor key operational metrics and proactively identify emerging issues, including changes in call volume, containment, transfer behavior, speed of answer, abandonment, handle time, call drivers, and customer experience indicators.
• Partner with operations, workforce management, IVR, automation, product, technology, data architecture, and data governance teams to understand business problems, define requirements, and design practical data solutions.
• Research and query structured and unstructured data sources to understand how systems work, validate data quality, and expand available reporting and insight capabilities.
• Create clear documentation for code, reporting logic, metric definitions, source systems, data structures, and operational assumptions.
• Serve as a data steward for assigned subject areas, helping ensure data is accurate, available, properly classified, and governed appropriately.
• Communicate findings clearly to technical and non-technical audiences, translating complex data into practical business recommendations.

• 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 in computer science, statistics, analytics, operations research, economics, mathematics, or a related field., * Experience supporting contact center, IVR, customer service, workforce management, digital servicing, insurance, or financial technology environments.
• Experience using Amazon CloudWatch or similar monitoring tools to identify system, service, or operational anomalies.
• Experience working in an Agile environment with product, engineering, or technology teams.
• Working knowledge of data governance, metric definition, data quality validation, and documentation practices.
• Interest in automation, self-service improvement, and translating analytics into measurable business value.

3.13.1 out of 5 stars San Francisco, CA Hybrid work $86,100 - $141,450 a year - Full-time, $86,100.00 - $141,450.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

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Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

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 on relentless innovation to exceed our customers’ expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.