ABOUT THIS ROLE
As a Business Intelligence Engineer within the Customer Service Analytics team at Audible, you'll serve as a data-driven decision enabler for our Customer Service Leadership Team. You will be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions.
ABOUT YOU
You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences.
As a Business Intelligence Engineer, you will...
- Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for monthly business reviews and executive reporting, ensuring speed, reliability, and scalability
- Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership
- Anticipate leadership questions and proactively develop analyses and visualizations that address emerging business needs
- Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis
- Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences
- Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies
- Communicate findings and insights to stakeholders in a clear, concise, and actionable manner
- Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions
- Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality
- Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives