Senior Analyst, Audible People & Places

Amazon • Seattle, WA

2d • $118,200 - $185,000 • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior