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.
ABOUT THIS ROLE
We are looking for a talented and experienced Senior Business Analyst to join the People Analytics team at Audible. In 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.
ABOUT THE TEAM
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-dive 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
ABOUT AUDIBLE
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 QuickSight,
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
- Advanced degree (Masters, PhD) in Statistics, Business Analytics, Information Systems, or related field
- 6+ years of experience in a business analyst, data analyst, or statistical analyst role
- Experience with
AWS analytical services (e.g., QuickSight,
Redshift, Data Pipeline, EMR)
- Previous experience working in or with Human Resources and people data
- Experience with survey design, A/B testing, experimental methods, or advanced statistical techniques (e.g.,
regression, survival analysis, cluster analysis)
- Experience integrating generative AI and machine learning tools into analytics workflows to drive scalability and efficiency
- Excellent communication and interpersonal skills with the ability to translate business questions into analytical requirements across technical and non-technical audiences
- Ability to deliver independently in ambiguous, high-growth environments while building trust with
cross-functional stakeholders
- Project management experience with multiple stakeholders across competing timelines
- Customer orientation with consultative skills and a strong aptitude for proactively identifying needs and defining solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NJ, Newark - 130,000.00 - 185,000.00
USD annually
USA, WA, SEATTLE - 118,200.00 - 160,000.00
USD annually
USA, WA, Seattle - 118,200.00 - 160,000.00
USD annually