Senior Analyst Places

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

We are looking for a talented and experienced Senior Business Analyst to join the People Analytics team  this role, you will be a business-embedded analytics leader who drives data-informed decision-making across Audible's People & Places organization and the broader business.

You’ll synthesize complex data from a variety of domains to create insights with significant business impact. Your work will enable leaders across Audible to make fast, informed people decisions in a dynamic, often ambiguous environment. You’ll design and scale analytical tools, dashboards, and reporting solutions—evolving ad-hoc data artifacts into scalable, self-service solutions that shape talent strategy.

The Senior Analyst will be part of Audible's People Analytics & AI team, which partners with HR Business Partners, Talent Acquisition and Development, and organizational leadership to deliver data-driven insights that support Audible’s talent strategy. Our team focuses on the inputs that attract, grow, and retain creative, technical, and business talent, leveraging analytics to drive measurable impact on employee experience. Our team is at the forefront of integrating AI and generative AI into our analytics practice and leverages these tools to scale insights, automate workflows, and push the boundaries of what people analytics can deliver.

We expect team members to lead by example in adopting and championing AI-enabled approaches across the organization.

As a Senior Analyst, Audible People & Places, you will

• Own end-to-end development of KPIs, deep-diving analyses, and scalable self-service reporting solutions that measure the effectiveness of talent programs and inform organizational strategy
• Design, build, and maintain Workday custom reports and optimized SQL data models to support reliable, repeatable people data reporting across the organization
• Proactively monitor key performance metrics, surface risks and opportunities to senior leadership, and leverage statistical modeling, survey design, and experimentation methods when deeper investigation is needed
• Champion the adoption of AI and generative AI tools across the analytics workflow—automating data preparation, accelerating insight generation, and scaling self-service capabilities for stakeholders
• Coach managers and HR partners on analytics best practices while actively participating in team planning, stakeholder management, and roadmap discussions to ensure alignment with business priorities

Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

• 5+ years of business analyst, data analyst or an equivalent role experience
• Experience with data modeling, warehousing and building ETL pipelines
• BA/BS degree in Statistics, Computer Science, Mathematics, Engineering, Operations Research, Business Analytics, Information Systems, or related quantitative field
• Experience writing SQL to query, transform, and analyze data in a database or data warehouse environment
• Proficiency with at least one data visualization tool (Tableau, Amazon Quick Sight, Power BI, or similar)
• Experience with Workday report writing, including custom reports, calculated fields, and report security configurations
• Experience building comprehensive self-service dashboards and reports using disparate data sources