Amazon Business Intelligence Engineer AWS Workforce Planning 

United States, Washington, Seattle 

569749719

Key job responsibilities
• Reports directly to the WFP Product leader, collaborating internally with WFP PMs, Developers, Scientists and Planners, and externally with AWS Fintech, People Analytics, Recruiting Tech, and BizOps on the creation of tools and processes that support the one- and three-year workforce plans in cadence with AWS’ operational cycles.
• Develops collaborative business analytics, reporting, and visualization solutions that bridge our internal software applications to our downstream customers, creating measurable economic impact on AWS.
• Leverages knowledge of planning methodologies, data sources, and best practices. Applies this technical knowledge to invent, evolve, improve, and simplify.
• Drives large-scale workforce planning deliverables that solve significantly complex or endemic problems.
• Creates and Captures the right metrics to influence stakeholders and measure success.
• Delivers compelling data driven designs/solutions and technical guidance serving as a key connector between our software/product and strategy teams.
• Brings a passion for storytelling through the data, and an obsession for improving the customer experience in our products and reports.A day in the lifeAs a Business Intelligence Engineer (BIE) within AWS, you will partner across the WFP group guided by a senior member of the team. You will play a key role on the Workforce Planning Product and Engineering sub-team that builds the technology to scale workforce planning services across the business. You will influence and build the tools and programs serving senior leaders globally and impacting AWS’ future.
The ideal BIE has a strong sense of ownership, is self-driven, loves breaking new ground. You will bring a mix of experience including complex technical program management, data acumen, business intelligence domain expertise, cross functional collaboration, operational planning, and process improvement.

- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling, warehousing and building ETL pipelines
- Experience partnering with both technical (such as software or science) and non-technical (such as strategy or program) teams in a cross-functional environment.