Amazon Sr Business Analyst People Analytics Entertainment PXT 

United States, Washington, Seattle 

153755552

About the Role:
In this role, you’ll design and scale analytical tools, dashboards, and reporting solutions using large and complex data lake/warehouse environments. You’ll build proof-of-concept reporting tools and evolve ad-hoc data artifacts into scalable, self-service solutions. Your work will enable teams across Entertainment to make fast, informed people decisions in a dynamic, often ambiguous environment.You seamlessly flex among various technical tools and platforms, choosing the right level of effort for the business value. You bring deep contextual knowledge and apply analytics best practices in all you do, focusing on high data quality, scalability, and continuous improvement. You are a strong verbal and written communicator, tailoring your messaging to diverse audiences—from technical peers to executive leaders—using effective storytelling to present data and influence outcomes. You own the communication of key metrics and their associated insights, often setting the standard for analytics communication across the organization.This role requires someone with a passion for innovation, strong analytical and communication skills, and the ability to navigate complexity. You’ll thrive in this position if you’re curious, decisive, and excited to drive measurable impact in a high-stakes environment.Key job responsibilities
• Design, build, and scale metrics, dashboards, analyses, and reporting solutions that empower the Entertainment PXT team and cross-functional partners to make data-driven decisions.
• Own end-to-end development of KPIs that measure the effectiveness and impact of talent programs, ensuring alignment with business goals and priorities.
• Perform deep-dive analyses to uncover insights and identify root causes across ambiguous and evolving problem spaces.
• Collaborate closely with stakeholders across HR, business, and technical teams to gather requirements, define analytical approaches, and deliver scalable, self-service solutions.
• Proactively monitor key performance metrics, identify trends, and surface opportunities or risks to senior leadership through compelling storytelling and clear communication.
• Partner with data engineering and platform teams to onboard new data sources, improve data quality and coverage, and enhance the usability of data for analytical use.
• Build automated reporting tools and workflows to reduce manual effort, streamline data delivery, and improve overall efficiency.
• Develop optimized data models and tables using SQL to support efficient, repeatable, and reliable reporting and analysis.
• Actively participate in team planning, stakeholder management, and roadmap discussions, ensuring analytics solutions are aligned to business priorities and timelines.

- Bachelor's degree
- 5+ years of tax, finance or a related analytical field experience
- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience
- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.).
- Experience with data modeling, data warehousing, and ETL pipelines.
- Experience developing data-driven business insights from multiple disparate data sources to defining requirements and produce unified solutions.
- Experience making business recommendations and influencing stakeholders via written and verbal communication.
- Ability to work cross-functionally, building and maintaining trust with internal stakeholders.
- Ability to bridge the gap between business and technical domains by effectively collaborating with diverse stakeholders, translating complex business questions into clear analytical requirements, and conveying technical concepts to non-technical audiences with ease.
- Ability to deliver independently with limited guidance.

- Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 6+ years' experience in a business analyst, data analyst or statistical analyst role.
- Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis).
- Previous experience working in or with Human Resources and people data.
- Advance SQL proficiency - experience writing complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports.
- Ability to conduct advanced statistical techniques such as structural equation modeling, survival analysis, social network analysis, and/or cluster analysis.
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.
- Be self-driven, and show ability to deliver on ambiguous projects with incomplete data.