Business Intelligence Engineer II, Labor BI Strategies

Are you looking for a unique and exciting opportunity to be part of building something from scratch? We are seeking individuals who thrive in uncertain situations to join the Business Intelligence (BI) team of a tech organization under Workforce Planning. The perfect candidate should be passionate about automation and streamlined process design. The applicant must have advanced analytical, critical thinking, and problem-solving skills, software development experience, and a knack for creating maintainable, highly reliable, distributed systems that operate 24/7/365. You will work with analytic tools, script writing, engage with customers to answer essential business questions, and represent your customers. Successful candidates will effectively collaborate with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to troubleshoot problems, implement new solutions, and achieve high operational standards of system availability and reliability. We are searching for excellent communicators, self-motivated, flexible, diligent individuals who enjoy their work. Complex tasks of research and the skills required for a Business Intelligence Engineer go beyond mere data entry and extraction. It involves designing and developing automated data pipelines, intricate analytical and intuitive data. This role is part of a large analytical team that supports diverse businesses. This role offers great exposure to a broad scope that can significantly influence the future of operational fulfillment and promote career progression. About the team: The Strategies Labor BI team enhances the labor planning experience by generating insights and data for our customers. We achieve this by: 1) Generating actionable insights to guide product roadmaps and make strategic decisions for our customers. 2) Empowering stakeholders using automated reports, self-service dashboards, or company-wide tools/metrics. 3) Improving our data architecture and processes to reduce time spent on Knowledge Transfer and Learning Operations. 4) Supporting general business needs and operations. We are open to hiring candidates from the following locations: Bellevue, WA, USA. Basic Qualifications: - Over 3 years of data analysis and interpretation experience with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools. - Experience with data modeling, warehousing and building ETL pipelines. - Experience writing complex SQL queries. - Experience with Statistical Analysis packages such as R, SAS and Matlab. - Experience using SQL to extract data from a database or data warehouse and scripting experience (Python) to process data for modeling. Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. The salary package for this position varies from $79,600/year to $185,000/year, depending on market conditions and job-related knowledge, skills, and experience. The total compensation might include equity, sign-on payments, and other forms as part of a total compensation package, plus a complete range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.