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Business Intelligence Engineer, MEDICI

Audible
  • US
    Newark, New Jersey, United States
  • US
    Newark, New Jersey, United States

À propos

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you will serve as a data‑driven decision enabler for senior leadership, designing and optimizing reporting processes that deliver critical KPIs and business insights across the organization.
ABOUT YOU You are a data storyteller balancing technical expertise with strong business acumen, functioning cross‑functionally, translating business requirements into robust analytical frameworks, and communicating complex analyses to both technical and executive audiences.
RESPONSIBILITIES
Design, implement, and optimize BI solutions that 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.
QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
Advanced skills in Excel and knowledge of data visualization tools such as Tableau.
Experience working with multiple groups of stakeholders.
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  • Newark, New Jersey, United States

Compétences linguistiques

  • English
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