Senior BI Engineer, Customer Service Analytics

Audible; Newark (NJ); On-site; USD 143,000 - 194,000; Full time

Job summary

Audible is seeking a Senior Business Intelligence Engineer to empower Customer Service leadership with data-driven insights. You will design, implement, and optimize reporting and dashboards, enabling self-serve access and scalable analytics across the organization.

You will collaborate with data scientists, engineers, product managers, and executives to align metrics with strategic objectives, while upholding data governance and quality standards.

Qualifications

• Experience using data analysis tools to derive actionable insights.
• Experience leading data-driven projects across functions and geographies.
• Strong business acumen with ability to translate requirements into analytics frameworks.

Responsibilities

• Design, implement, and optimize BI solutions to track KPIs and enable executive reporting.
• Break down metrics into actionable indicators for leadership reviews.
• Anticipate questions and build analyses and visuals addressing emerging needs.
• Automate key variance drivers to speed root-cause analysis.
• Develop concise visualizations for executives to communicate trends.
• Document reporting methodologies bridging technical and business context.
• Communicate findings clearly to stakeholders at all levels.
• Balance stakeholder needs with technical constraints for long-term solutions.
• Champion data governance and consistency in metric definitions.
• Partner with data scientists, engineers, product managers, and leaders to align reporting with strategy.
• Invest in stakeholder relationships to enable insights-driven decisions.

Skills

Data analysis

Cross-functional collaboration

Data storytelling

Education

Advanced degree in Analytics or related field

Tools

Excel

Pivot Tables

SQL

Tableau

Job description

Audible is seeking a Senior Business Intelligence Engineer to empower Customer Service leadership with data-driven insights. You will design, implement, and optimize reporting and dashboards, enabling self-serve access and scalable analytics across the organization.

You will collaborate with data scientists, engineers, product managers, and executives to align metrics with strategic objectives, while upholding data governance and quality standards.