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Business Intel Engineer III, Workforce Staffing , Seattle, Washington

CategoryHuman Resources
Job typeFull Time
CountryUnited States of America
The Workforce Staffing Research & Business Intelligence team is your opportunity to make an impact across multiple layers of the company and the hourly workforce as a whole. This team will lead and influence programs that will enable Amazon to scale more efficiently, while also providing a unique voice for the hourly labor population within the United States and Canada. Amazon's mission is to be the most customer centric company in the world. The Workforce Staffing (WFS) Organization is on the front line of that mission by hiring hundreds of thousands of hourly associates across multiple types of roles and businesses. To drive the continued scale of Amazon's labor needs within a constrained employment environment, and to improve the candidate/employee experience within Amazon's operation, Amazon is investing in its Workforce Staffing Research & Business Intelligence programs.
What is the role?
The Business Intelligence Engineer III role will be responsible for creating the proper data modeling necessary to facilitate reporting and anlytics, acquiring new data sources, and building out comprehensive data visualizations for key stakeholders. This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design. If you can seamlessly move across these various skillsets then you'll thrive in this role. Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do complex and difficult challenges excite you? If yes, this may be the team for you.

Key Responsibilities
- Build out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics
- Be the voice of your customers; communicate the needs of candidates, associates and staffing coordinators to your stakeholders via the data
- Turn over rocks to uncover and drive unanticipated outcomes
- Acquire various data sources to enable holistic analysis at a global level
- Build various data visualizations to tell the story and let the data speak for itself
- Mentor junior engineers to drive them to think big and deliver results

Basic Qualifications:
• Bachelor degree in Computer Science, Statistics, Finance, Mathematics, or related field
• Minimum 10+ years of relevant work experience in a BI and/or Statistics role
• Demonstrated leadership in data warehousing concepts, including data modeling initiatives
• Strong knowledge of SQL, Linux, Python, R
• Ability to turn complex problems into simple solutions
• Track record of managing multiple projects simultaneously in a fast-paced environment
• Proven ability to develop engaging customer-facing programs
• Ability to self-direct, multitask, and prioritize a constantly evolving workload.

Preferred Qualifications:
• Master's in Computer Science, Information Systems or MBA
• Experience with Tableau, Microstrategy, and/or other data visualization tools
• Familiarity with Amazon's cloud infrastructure including EC2, S3 and Redshift
• Experience in leading technical discussions and assisting teams in designing solutions
• Strong interpersonal skills
• Ability to work cross functionally
• Strong negotiation skills and develops strong relationships across teams
• Highly organized individual who also wants to have fun building new products and services across geographies
• Experience in leading technical discussions and assisting teams in designing solutions

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age

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