Senior Analyst, Audible People & Places

About the 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.

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

Requirements

• 5+ years of business analyst, data analyst or an equivalent role experience
• Bachelor’s 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

Qualifications

• Advanced degree (Masters, PhD) in Statistics, Business Analytics, Information Systems, or related field preferred
• 6+ years of experience in a business analyst, data analyst, or statistical analyst role preferred
• Experience with AWS analytical services (e.g., QuickSight, Redshift, Data Pipeline, EMR) preferred
• Previous experience working in or with Human Resources and people data preferred
• Experience with survey design, A/B testing, experimental methods, or advanced statistical techniques (e.g., regression, survival analysis, cluster analysis) preferred
• Experience integrating generative AI and machine learning tools into analytics workflows to drive scalability and efficiency preferred
• Excellent communication and interpersonal skills with the ability to translate business questions into analytical requirements across technical and non-technical audiences preferred
• Ability to deliver independently in ambiguous, high-growth environments while building trust with cross-functional stakeholders preferred
• Project management experience with multiple stakeholders across competing timelines preferred
• Customer orientation with consultative skills and a strong aptitude for proactively identifying needs and defining solutions preferred
• Experience with data modeling, warehousing, and building ETL pipelines preferred

Skills

• Strong analytical and problem-solving skills
• Experience with data visualization tools
• Knowledge of Workday and SQL
• Experience with AWS analytical services
• Experience with survey design and experimental methods
• Experience with generative AI and machine learning tools
• Excellent communication and interpersonal skills
• Project management experience
• Customer orientation and consultative skills
• Data modeling and warehousing experience
• ETL pipeline experience

Benefits

Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

The base salary range for this position is $130,000.00 - $185,000.00 USD annually.